(Note that this homework has 2 questions)
Homework 8
Question 1.
The Child Health and Development collected data to study the relationship between the infant weights
and several related variables.
A sample of 40 observations are given in the next worksheet
Model Building - Stepwise Regression (Backward Elimination Method):
(a) Follows the process steps described below to obtain a significant regression model.
Step 1. Determine the estimated regression equation containing ALL six independent variables
(gestation, height, smoke, age, weight, and parity).
(a) What is the estimated regression equation with these six independent variables?
(b) What percent of the total variation in baby weights is explained by this regression?
(c) Which independent variables are NOT significant in this model at a = 0.05?
Step 2. Eliminate non-significant variables, one at a time, until you obtain a regression model
with all independent variables significant.
Process steps:
Step 2a. Remove the non-significant independent variable(s), one at a time, starting
with the variable that has the highest p-value first. Obtain the new
regression model.
Step 2b. Check the independent variables for significance at a=0.05..
(i) If all independent variables are significant, stop. This is the significant model.
(ii) If some independent variables in the model are not significant, repeat Step 2.
(b) These process steps described above will result in a regression model that has significant
independent variables only. What is the significant model found after completing the process
steps above?
(c) Now use the stepwise regression available in PHStat. Run stepwise regression (using
backward elimination approach) to obtain a significant regression model.
What is the model found by the PHStat stepwise regression?
(d) Compare the significant regression models obtained in (b) and (c). Are they different? If
they are different, which model is performing better?
(e) Using the model you found to be performing better in (d), construct 95 percent confidence
interval estimate for the mean baby weights for the newborns with the following values:
(i)
(i)
Baby 1
Baby 2
gestation
height
smoke
age
weight
parity
283
64
1
22
140
0
gestation
height
smoke
age
weight
parity
283
64
1
25
160
1
(f) Which confidence interval estimate has a larger interval? Why?
When you run stepwise regression in question (c),
if you get an error message like the following, that
means the PHStat failed. Please copy the data into a
NEW FILe and run the stepwise regression from this new
file.
bwt
gestation
height
smoke
age
weight
parity
Variables
128
125
114
130
116
81
124
125
110
125
138
142
115
102
140
133
127
104
119
152
123
143
131
141
129
113
119
109
104
131
110
148
137
117
115
98
136
121
132
93
290
286
290
285
248
256
287
292
262
279
294
284
278
280
294
276
290
274
275
301
284
273
308
319
277
282
292
295
280
282
293
279
283
283
302
250
303
276
285
264
64
64
66
63
66
60
62
65
66
63
64
66
60
55
61
63
66
62
67
65
65
66
65
67
66
59
62
63
68
66
64
71
65
63
67
56
68
71
63
60
0
0
0
1
0
1
1
0
0
1
0
0
1
0
0
0
0
1
0
0
0
0
0
0
1
0
1
1
1
0
1
0
0
0
0
1
0
1
0
1
22
21
30
23
28
30
27
22
25
23
40
39
23
38
25
22
35
20
42
29
20
19
40
20
30
36
33
23
27
21
28
27
20
27
22
35
20
23
25
36
118
139
160
128
135
148
105
122
140
104
125
132
102
140
103
119
165
115
156
150
120
135
160
140
142
140
118
103
146
126
135
189
157
108
135
122
148
152
140
100
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
1
0
0
1
0
1
0
1
1
1
1
0
1
0
1
0
1
1
1
0
Bwt
Gestation
Height
Smoke
Age
Weight
122.50
15.428911
283.3
64.1
0.4
27.4
0.4
Parity
When you run stepwise reg
if you get an error message
means the PHStat failed. Pl
NEW FILe and run the stepwis
file.
Bwt
180
160
140
120
100
4900.00000
4900.0000
Baby weights in ounces
Length of pregnancy in days
Mother's height in inches
=1 if mother is smoker. = 0 Nonsmoker
Mother's age in years
Mother's pregnancy weight
= 0 if the baby is first born
=1 otherwise
Bins
90
100
110
120
130
140
150
160
170
180
en you run stepwise regression in question (c),
ou get an error message like the following, that
ans the PHStat failed. Please copy the data into a
W FILe and run the stepwise regression from this new
Bwt vs Gestation
Bwt
180
160
140
120
100
80
60
40
240
260
280
Gestation
300
320
340
Mid
95
105
115
125
135
145
155
165
175
180
4900.0
4900.
bwt
gestation
height
Weight
smoke
age
128
125
114
130
116
81
124
125
110
125
138
142
115
102
140
133
127
104
119
152
123
143
131
141
129
113
119
109
104
131
110
148
137
117
115
98
136
121
132
93
290
286
290
285
248
256
287
292
262
279
294
284
278
280
294
276
290
274
275
301
284
273
308
319
277
282
292
295
280
282
293
279
283
283
302
250
303
276
285
264
64
64
66
63
66
60
62
65
66
63
64
66
60
55
61
63
66
62
67
65
65
66
65
67
66
59
62
63
68
66
64
71
65
63
67
56
68
71
63
60
118
139
160
128
135
148
105
122
140
104
125
132
102
140
103
119
165
115
156
150
120
135
160
140
142
140
118
103
146
126
135
189
157
108
135
122
148
152
140
100
0
0
0
1
0
1
1
0
0
1
0
0
1
0
0
0
0
1
0
0
0
0
0
0
1
0
1
1
1
0
1
0
0
0
0
1
0
1
0
1
22
21
30
23
28
30
27
22
25
23
40
39
23
38
25
22
35
20
42
29
20
19
40
20
30
36
33
23
27
21
28
27
20
27
22
35
20
23
25
36
122.50
15.428911
283.3
64.1
0.4
27.4
4900.00000
4900.0000
Question 2
(Y)
($1,000)
MARKET
REAL ESTATE DATA
(X1)
(X2)
(X3)
(Sq Feet)
AREA
($1,000)
(X4)
(Yes/No) (Number)
ASSESS BASEM BEDRM
128
No
1
101
No
1
(Area)
LOCAT
Loc 2
Loc 2
1
2
139
172
952
1255
3
4
5
178
180
183
1663
1575
1209
88
110
125
No
No
No
1
1
1
Loc 1
Loc 3
Loc 3
6
7
8
9
10
183
198
205
205
216
1689
1330
1437
1598
1377
81
147
143
103
123
No
Yes
Yes
Yes
Yes
1
1
1
1
1
Loc 1
Loc 1
Loc 2
Loc 1
Loc 1
1607
1225
1610
1157
1262
1426
1185
1580
1215
1444
1808
1925
1577
1010
1365
1342
1460
1573
1425
1629
1589
1855
1769
1768
1505
1824
1888
1607
1848
1792
1881
1936
1832
1873
1769
1691
1855
1824
1957
963
1178
1992
1545
1846
1593
2030
1920
1904
2170
2049
1159
1558
1467
2034
2004
2270
2275
2186
2319
2272
115,707
1,652.96
332.024
123
99
114
132
119
79
125
103
125
156
139
165
139
123
125
123
99
128
121
136
128
132
143
156
103
145
134
178
143
150
167
174
165
125
154
167
183
185
174
125
130
141
143
152
136
176
178
167
165
178
108
112
141
163
169
125
128
165
176
130
9,636
137.66
25.997
Yes
No
No
No
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
No
No
No
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
No
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
1
2
2
2
2
2
2
2
2
2
2
2
2
3
3
2
3
3
2
3
3
2
3
3
2
3
3
2
3
3
2
3
3
2
3
3
2
3
3
3
4
4
3
4
4
3
4
4
3
4
4
4
4
4
4
4
4
4
4
4
185
2.64
Loc 1
Loc 3
Loc 1
Loc 1
Loc 1
Loc 1
Loc 1
Loc 3
Loc 2
Loc 3
Loc 1
Loc 1
Loc 1
Loc 2
Loc 2
Loc 1
Loc 2
Loc 3
Loc 2
Loc 3
Loc 3
Loc 3
Loc 3
Loc 1
Loc 2
Loc 3
Loc 3
Loc 3
Loc 3
Loc 3
Loc 1
Loc 1
Loc 3
Loc 2
Loc 2
Loc 2
Loc 3
Loc 2
Loc 3
Loc 2
Loc 2
Loc 3
Loc 1
Loc 2
Loc 2
Loc 1
Loc 2
Loc 3
Loc 1
Loc 2
Loc 1
Loc 3
Loc 1
Loc 1
Loc 3
Loc 3
Loc 2
Loc 1
Loc 3
Loc 3
11
224
12
161
13
172
14
172
15
180
16
189
17
200
18
200
19
200
20
209
21
222
22
229
23
229
24
145
25
172
26
185
27
191
28
207
29
207
30
209
31
209
32
211
33
211
34
213
35
213
36
222
37
224
38
227
39
231
40
231
41
235
42
235
43
240
44
240
45
240
46
242
47
246
48
268
49
268
50
167
51
189
52
216
53
218
54
222
55
224
56
238
57
246
58
249
59
257
60
266
61
191
62
194
63
196
64
231
65
255
66
255
67
260
68
262
69
266
70
275
SUM 15045
AVG 214.929
St Dev 31.193
Dummy Variables:
X3 = Basement
X3 = 1 Finished Basement (Yes)
X3 = 0 No Finished Basement (No)
X5 = Location (Location 2 or not)
X5 = 1 if in location 2
X5 = 0 if not in location 2
X6 = Location (Location 3 or not)
X6 = 1 if in location 3
X6 = 0 if not in location 3
CORRELATION COEFFICIENTS
MARKET
AREA
ASSESS
BASEM
BEDRM
MARKET AREA ASSESS BASEM BEDRM LOCAT
1
0.8617
1
0.6924 0.5266
1
0.7016 0.5180 0.4405
1
0.4897 0.4787 0.4197 0.2761 1.0000
Question:
To answer the regression questions below, you first need to enter numeric
values (0 or 1) for BASEMENT column (X3), and 0 or 1 for LOCATION
variables (X5 and X6) as defined above.
(a) Use stepwise regression to determine the best Regression Model to
predict the market value of the houses. Which variables are included
in the model determined by stepwise regression?
(b) What is the estimated regression equation with these variables?
(c) What percentage of the total variations in market VALUEs
is explained by this regression model?
(d1) Using this regression model, calculate the predicted market
VALUE for a house in location 1 with a BASEMENT, AREA=1652
and ASSESS=137.
(d2) Using this regression model, calculate the predicted market
VALUE for a house in location 2 with a BASEMENT, AREA=1652
and ASSESS=137.
(d3) Using this regression model, calculate the predicted market
VALUE for a house in location 3 with a BASEMENT, AREA=1652
and ASSESS=137.
Page 4 of 4 (Homework 8)
Max
Min
275
139
Dr. Guder
USING EXCEL and PHStat
Page 0
MS Excel "Add-Inns": Data Analysis
MS Excel "Add-Ins": PHStat
Lecture
"Add-in"
to Use
How
Class 1
Data Analysis
Data --> Data Analysis --> Histogram…..
2
Class 1
PHStat
PHStat --> Descriptive Statistics--> Histogram and Polygons
2a
Descriptive Statistics (Excel)
Descriptive Statistics (PHStat)
Class 1
Data Analysis
Data --> Data Analysis --> Descriptive Statistics…..
3
150
Class 2
Data Analysis
PHStat --> Descriptive Statistics--> Descriptive Summary…
4
150
Normal Distribution (probability Calculation)
Class 2
PHStat
PHStat --> Probability and Prob Distributions --> Normal …
5, 6
246
Mean (sigma known)
Class 2
PHStat
PHStat --> Confidence Interval --> Estimate for the Mean, sigma known …
7
302
Mean (sigma unknown)
Class 2
PHStat
PHStat --> Confidence Interval --> Estimate for the Mean, sigma unknown …
7
302
Proportion
Class 2
PHStat
PHStat --> Confidence Interval --> Estimate for the Proportion …
8
303
Mean
Class 2
PHStat
PHStat --> Sample Size --> Determination for the Mean
8
303
Proportion
Class 2
PHStat
PHStat --> Sample Size --> Determination for the Proportion
8
303
Mean (sigma known)
Class 3
PHStat
PHStat --> One-Sample Tests --> Z Test for the Mean, sigma known …
9
339
Mean (sigma unknown)
Class 3
PHStat
PHStat --> One-Sample Tests --> t Test for the Mean, sigma unknown …
10
339
Proportion
Class 3
PHStat
PHStat --> One-Sample Tests --> Z Test for the Proportion …
10
341
Subject/Task
Data - Service Employees
Histogram, Frequency Distribution
Handout Textbook
Page(s)
Page(s)
1
95
Interval Estimation for
Sample Size for Estimating
Hypothesis Testing for
One-Sample Tests
Two-Sample Tests
Differences in Two Means (independent populat
Class 3
PHStat
PHStat ---> Two-Sample Tests (Summarized Data) --> Pooled Variance t Test for…
11
382
Differences in Two Means (related populations)
Class 3
PHStat
PHStat --> Two-Sample Tests (Unsummarized) --> Paired t Test …
12
384
Class 4
Data Analysis
Analysis of Variance (ANOVA)
One-Way ANOVA
Tukey-Kramer Procedure Using PHStat
Two-Way ANOVA (Excel)
PHStat
Class 4
Two-Way ANOVA (PHStat)
Correlation
Data Analysis
PHStat
Class 6
Data Analysis
Data --> Data Analysis --> Anova: Single Factor
13
PHStat --> Multiple-Sample Tests --> One-Way ANOVA (Check Tukey-Kramer Proc)
15
424
Data --> Data Analysis --> Anova: Two Factor
14
426
PHStat --> Multiple-Sample Tests --> Two-Way ANOVA
16
Data --> Data Analysis --> Correlation …
17
Regression Analysis
Simple Linear Regression
Multiple Regression
Class 6
PHStat
PHStat --> Regression --> Simple Linear Regression …
18-19
520-523
Classes 7, 8
PHStat
PHStat --> Regression --> Multiple Regression …
20-21
564-569
Class 9
Excel
Drawing Line Chart (Graph) in Excel 2013
Line Chart
Starting PHStat
(MS Excel 2003, 2010, and 2013)
Step 0. Save the PHStat file (PHStat.xlam) to your desktop. When saved, it will be a shortcut looking an Excel file with the title PHStat2 or PHStat
Step 1. Double click on this shortcut. Choose Enable Macros option. This will add another pane called Add-in
Step 2. Select Add-in to get to PHStat
22
SERVICE EMPLOYEES (Occup Group = 10) DATA
(Explanations on pages 2-3 are based on the data shown below)
Page 1
Page 2
USING EXCEL TO OBTAIN HISTOGRAM and FREQUENCY DISTRIBUTION
Choose the following:
Data ---> Data Analysis ---> Histogram ---> (Fill out the window as shown below)
Output/Result:
Frequency
0
1
9
12
4
2
1
Histogram
Frequency
Bins
15.0
25.0
35.0
45.0
55.0
65.0
75.0
15
10
5
0
15.0 25.0 35.0 45.0 55.0 65.0 75.0
Bins
USING PHStat TO OBTAIN HISTOGRAM
Page 2a
Choose the following:
PHStat Descriptive Statistics Histogram and Polygons
You need to provide Cell ranges for three different data:
Variable Cell Range (The area/column that has the INCOME data – D5.D59 in my case.
Note D5 has the title/Label)
Bins Cell Range (The area where you entered the interval points as 20, 30, 40, 50, 60, 70,
80, 90)
Midpoints Cell Range (The area where you entered midpoints of the bin values as 25,
35, 45, 55, 65, 75, 85)
Suppose the data values are given in column D (D5.D59), where D5
has the column title/label. Bins (interval points) are entered in the
range S2.S10 and Midpoints are entered in the range T2.T9 as
shown below.
You will then enter the ranges in the
Histogram & Polygons windows as shown
below:
The result will be similar to the following:
USING EXCEL TO OBTAIN DESCRIPTIVE STATISTICS
Page 3
Choose the following:
Data ---> Data Analysis ---> Descriptive Statistics... ---> (Fill out the window as shown below)
Output/Result:
INCOME (000)
Mean
31.483
Standard Error
2.300
Median
29.4
Mode
#N/A
Standard Deviation 12.388
Sample Variance 153.451
Kurtosis
-0.112
Skewness
0.855
Range
44
Minimum
15.3
Maximum
59.3
Sum
913
Count
29
Confidence Level (95%)
4.712
WORKed
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Confidence Level(95%)
EDUC
20.690
2.090
21
24
11.254
126.650
0.945
0.816
46
3
49
600
29
4.281
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Confidence Level (95%
12.862
0.343
13
14
1.846
3.409
-0.129
-0.478
7
9
16
373
29
0.702
USING PHSTAT TO OBTAIN DESCRIPTIVE STATISTICS (Single Group)
PHStat ---> Descriptive Statistics --> Descriptive Summary --> (Select) Single Group Variable
--> (Fill out the window as shown below)
Descriptive Summary
INCOME
Mean
31.483
Median
29.4
Mode
#N/A
Minimum
15.3
Maximum
59.3
Range
44
Variance
153.451
Standard Deviation
12.388
Coeff. of Variation
39.35%
Skewness
0.855
Kurtosis
-0.112
Count
29
Standard Error
2.300
USING PHSTAT TO OBTAIN DESCRIPTIVE STATISTICS (Multiple Groups)
PHStat ---> Descriptive Statistics --> Descriptive Summary --> (Select) Single Group Variable
--> (Fill out the window as shown below)
Descriptive Summary
0 (Female)
Mean
Median
Mode
Minimum
Maximum
Range
Variance
Standard Deviation
Coeff. of Variation
Skewness
Kurtosis
Count
Standard Error
22.991
21.6
#N/A
15.3
33.7
18.4
38.809
6.230
27.10%
0.477
-1.096
11
1.878
1 (Male)
36.672
33.9
#N/A
21.1
59.3
38.2
154.739
12.439
33.92%
0.501
-0.938
18
2.932
Page 4
Page 5
USING PHStat TO OBTAIN PROBABILITY FOR NORMAL DISTRIBUTION
Choose the following:
PHStat ---> Probability & Prob Distributions ---> Normal… ---> (Fill out the window as shown below)
Example 1(a) - Class 2
Example 1(b) - Class 2
Output/Result:
Example 1(a)
Example 1(b)
Common Data
Mean
Standard Deviation
Common Data
68
2
Probability for a Range
From X Value
68
To X Value
70
Z Value for 68
0
Z Value for 70
1
P(X Estimate for Proportion... ---> (Fill out the window as shown below)
Data
Sample Size
Number of Successes
Confidence Level
600
300
0.99
Intermediate Calculations
Sample Proportion
Z Value
Standard Error of the Proportion
Interval Half Width
0.5
-2.576
0.020
0.0526
Confidence Interval
Interval Lower Limit
Interval Upper Limit
0.447
0.553
USING PHStat TO DETERMINE the SAMPLE SIZE (n) for Mean
PHStat ---> Sample Size ---> Determination for the Mean…---> (Fill out the window as shown below)
Example 5
Data
Population Standard Deviation
Sampling Error
Confidence Level
4
1
95%
Intemediate Calculations
Z Value
Calculated Sample Size
-1.960
61.463
Result
Sample Size Needed
62
USING PHStat TO DETERMINE the SAMPLE SIZE (n) for Proportion
PHStat ---> Sample Size ---> Determination for the Proportion…---> (Fill out the window as shown below)
Example 8 - Class 2
Data
Estimate of True Proportion
Sampling Error
Confidence Level
0.50
0.03
0.99
Intermediate Calculations
Z Value
Calculated Sample Size
-2.58
1843.03
Result
Sample Size Needed
1844
USING PHStat FOR HYPOTHESIS TESTING for MEAN
Page 9
Choose the following:
PHStat ---> One-Sample Tests ---> Z Test for the Mean, sigma known… --->
(Fill out the window as shown below)
Example 1 - Class 3
Data
=
Null Hypothesis
Level of Significance
Population Standard Deviation
Sample Size
Sample Mean
64
0.05
0.5
25
63.85
Intermediate Calculations
Standard Error of the Mean
Z Test Statistic
0.1
-1.50
Two-Tail Test
Lower Critical Value
Upper Critical Value
p-Value
-1.960
1.960
0.1336
Do not reject the null hypothesis
PHStat ---> One-Sample Tests ---> Z Test for the Mean, sigma known… --->
Example 2 - Class 3
Data
Null Hypothesis
=
Level of Significance
Population Standard Deviation
Sample Size
Sample Mean
700
0.05
75
225
704
Intermediate Calculations
Standard Error of the Mean
Z Test Statistic
5
0.80
Upper-Tail Test
Upper Critical Value
p-Value
Do not reject the null hypothesis
1.645
0.212
PHStat ---> One-Sample Tests ---> t Test for the Mean, sigma unknown… --->
Page 10
(Fill out the window as shown below)
Example 4 - Class 3
Data
=
Null Hypothesis
Level of Significance
Sample Size
Sample Mean
Sample Standard Deviation
700
0.10
64
710
48
Intermediate Calculations
Standard Error of the Mean
Degrees of Freedom
t Test Statistic
6
63.00
1.6667
Upper-Tail Test
Ca
Lower Critical Value
Upper Critical Value
p-Value
-1.6694
1.2951
0.0503
Reject the null hypothesis
PHStat ---> One-Sample Tests ---> Z Test for proportion… --->
(Fill out the window as shown below)
Example 6 - Class 3
Null Hypothesis
Data
=
Level of Significance
Number of Successes
Sample Size
0.40
0.02
170
400
Intermediate Calculations
Sample Proportion
Standard Error
Z Test Statistic
0.4250
0.0245
1.0206
Two-Tail Test
Lower Critical Value
Upper Critical Value
p-Value
-2.326
2.326
0.3074
Do not reject the null hypothesis
Two-Sample Tests (Independent Populations)
Page 11
PHStat ---> Two-Sample Tests (Unsummarized Data) ---> Pooled Variance t Test for… --->
PHStat ---> Two-Sample Tests (Summarized Data) ---> Pooled Variance t Test for… --->
Example 8 ‐ Class 3
(assumes equal population variances)
Data
Hypothesized Difference
Level of Significance
Population 1 Sample
Sample Size
Sample Mean
Sample Standard Deviation
Population 2 Sample
Sample Size
Sample Mean
Sample Standard Deviation
Intermediate Calculations
Population 1 Sample Degrees of Freedo
Population 2 Sample Degrees of Freedo
Total Degrees of Freedom
Pooled Variance
Standard Error
Difference in Sample Means
t Test Statistic
Upper‐Tail Test
Upper Critical Value
p‐Value
Do not reject the null hypothesis
0
0.05
60
4
1.6
80
3
1
59
79
138
1.6670
0.2205
1.0000
4.5352
1.6560
0.0000
Calcula
For one‐t
T.DIST.RT
1‐T.DIST.
Page 12
Two-Sample Tests (Related Populations - Paired)
PHStat ---> Two-Sample Tests (Unsummarized Data) ---> Paired t Test … --->
PHStat ---> Two-Sample Tests (Summarized Data) ---> Paired t Test … --->
(Fill out the window as shown below)
Column B
Column C
Before
199
213
176
160
190
187
194
171
178
210
After
180
190
159
145
168
171
175
156
156
181
Unsummarized
Data
Example 9
Data
Hypothesized Mean Difference
Level of significance
Intermediate Calculations
Sample Size
DBar
Degrees of Freedom
SD
Standard Error
t Test Statistic
17
0.05
10
19.7000
9
4.3982
1.3908
1.9413
Upper‐Tail Test
Upper Critical Value
p ‐Value
Reject the null hypothesis
1.8331
0.0421
TDIST Calculations
T.DIST.RT
0.0421
0.9579
1‐T.DIST.RT
Page 13
USING EXCEL FOR ANALYSIS OF VARIANCE (One-Way ANOVA)
PHStat ANOVA information given below
One-Way Analysis of Variance
(ANOVA)
Choose the following:
Data ---> Data Analysis --->
Anova: Single Factor ---> OK
(Fill out the window as shown)
Using PHStat Tukey-Kramer Procedure
PHStat --> Multiple-Sample Test -->
--> One-Way ANOVA
--> Check Tukey-Kramer Procedure
--> OK
PHStat --> Multiple-Sample Test -->
--> Tukey-Kramer Procedure (PhStat Version 2.7)
USING EXCEL FOR ANALYSIS OF VARIANCE (Two Way ANOVA)
Choose the following:
Data ---> Data Analysis ---> Anova: Two-Factor with Replication ---> OK
(Fill out the window for the data shown above)
Two-Way Analysis of Variance (ANOVA)
Page 14
USING PHStat FOR ANALYSIS OF VARIANCE (ANOVA)
Page 15
One-Way ANOVA
PHStat --> Multiple-Sample Test --> One-Way ANOVA
Notes:
* Do not check Tukey-Kramer Procedure for Two-Samples cases
* You can check Tukey-Kramer Procedure for three (or more) sample cases. Q value is to be provided
Q Value is to be provided when asked
Tukey-Kramer Multiple Comparisons
Sample
Sample
Group
Mean
Size
1: Hospital A
5
6
2: Hospital B
4
6
3: Hospital C
3
6
Other Data
Level of significance
0.05
Numerator d.f.
3
Denominator d.f.
15
MSW
1.0666667
Q Statistic
3.67
Absolute Std. Error
Comparison
Group 1 to Group 2
Group 1 to Group 3
Group 2 to Group 3
Difference
1
2
1
of DifferenceResults
0.42164 1.547408 Means are not different
0.42164 1.547408 Means are different
0.42164 1.547408 Means are not different
Important:
PHStat ANOVA procedure sometimes fails to work. If that happens, do the following:
(a) Open a new file and copy your data into this new file
(b) Repeat PHStat --> Multiple-Sample Test --> One-Way ANOVA
(c) If the same problem continues
(i) Close and restart your computer
(ii) Open a new file and copy your data to this new file
(iii) Repeat PHStat --> Multiple-Sample Test --> One-Way ANOVA
Two-Way ANOVA
PHStat --> Multiple-Sample Test --> Two-Way ANOVA with Replication
Important:
PHStat ANOVA procedure sometimes fails to work. If that happens, do the following:
(a) Open a new file and copy your data to this new file
(b) Repeat PHStat --> Multiple-Sample Tests --> One-Way ANOVA
(c) If there is still a problem:
(i) Close and restart your computer
(ii) Open a new file and copy your data to this new file
(iii) Repeat PHStat --> Multiple-Sample Test --> One-Way ANOVA
Page 16
CORRELATION and REGRESSION
Correlation and Regression outputs (on pages 12-15) are based on the Real Estate Data given below.
Page 17
USING Excel FOR CORRELATION
Data ---> Data Annalysis ---> Correlation
Page 18
(Fill out the window as shown below)
Correlation Output
MARKET
AREA
ASSESS
BASEM
MARKET
1
0.8617
0.6924
0.7016
AREA
ASSESS
BASEM
1
0.5266
0.5180
1
0.4405
1
USING PHStat TO OBTAIN SIMPLE REGRESSION
PHStat ---> Regression ---> Simple Linear Regression… --->
(Fill out the window as shown below)
These are needed for confidence
interval and prediction interval
estimates
See Regression OUTPUT on next page
Regression Statistics
Multiple R
0.8617
R Square
0.7425
Adjusted R Square
0.7388
Standard Error
15.9436
Observations
70
Page 19
15
16
14c
ANOVA
Regression
Residual
Total
Intercept
AREA
df
1
68
69
SS
49853.25
17285.39
67138.64
Coefficients Stand Error t Stat
81.110
9.744
8.324
0.081
0.006
14.004
11
MS
F
49,853.253 196.121
254.197
P-value
0.00000
0.00000
Signif F
0.00000
Lower 95% Upper 95%
61.67
0.07
100.55
0.09
19a
19b
Output (Confidence and Prediction
Interval Estimates)
Data
X Value
Confidence Level
1,652.96
95%
Intermediate Calculations
Sample Size
70
Degrees of Freedom
68
t Value
1.9955
XBar, Sample Mean of X
214.9286
Sum of Squared Differences from 7,606,537
Standard Error of the Estimate
15.9436
h Statistic
0.0143
Predicted Y (YHat)
214.929
For Average Y
Interval Half Width
Confidence Interval Lower Limit
Confidence Interval Upper Limit
3.803
211.126
218.731
For Individual Response Y
Interval Half Width
32.041
Prediction Interval Lower Limit
182.887
Prediction Interval Upper Limit
246.970
17
18a
18b
USING PHSTAT FOR MULTIPLE REGRESSION
Choose the following:
Page 20
PHStat ---> Regression ---> Multiple Regression… --->
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
Example 1-2
0.9063
0.8213
0.8160
13.3820
70
25
26
24c
ANOVA
df
2
67
69
Regression
Residual
Total
Intercept
AREA
ASSESS
Coefficients
53.5824
0.0646
0.3961
21
SS
55,140.48
11,998.17
67,138.64
Stand Error
9.6202
0.0057
0.0729
MS
F
Significance F
27,570.24 153.9574
0.0000
179.077
t Stat
5.5698
11.3225
5.4337
P-value Lower 99% Upper 99%
0.0000 28.0771
79.0877
0.0000
0.0495
0.0798
0.0000
0.2028
0.5893
29a
29b
Page 21
Confidence Interval Estimate and Prediction Interval
Example 1-2
Data
Confidence Level
AREA given value
ASSESS given value
0.95
1
1,652.96
137.60
Predicted Y (YHat)
214.906
For Average Predicted Y (YHat)
Interval Half Width
Confidence Interval Lower Limit
Confidence Interval Upper Limit
For Individual Response Y
Interval Half Width
Prediction Interval Lower Limit
Prediction Interval Upper Limit
3.193
211.714
218.099
26.901
188.005
241.807
Enter these values
27
28a
28b
Drawing (Line) Charts/Graph in Excel 2013
Year
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
Visits
14292
14022
15777
12672
14000
12816
15093
17433
15165
13392
14058
15900
Page 22
Visits
18000
17000
16000
15000
14000
13000
12000
11000
10000
2000
2002
2004
2006
2008
2010
2012
2014
Drawing (Line) Charts/Graph in Excel 2013
Step 1.
Step 2.
Step 3.
Select the cells that contain the data that you want to use for the chart (C7..C19)
On the INSERT tab, in the Charts group, click the chart type (select the line chart)
The chart will be created after the selection. By default, the chart is placed on the
worksheet as an embedded chart. Excel automatically assigns a title (Visits in Excel 2013,
Chart 1 in Excel 2010)
Visits
20000
15000
10000
5000
0
1
Step 4.
2
3
4
5
6
7
8
9
10
11
12
You can make changes on this default chart by using
(a) Select Data to display Year on the X-axis
(b) Format axis to change the range of the numbers/visits (10000 to 18000)
(c) Format Chart Area to draw lines outside the chart
The new chart will look like the following.
Visits
18000
16000
14000
12000
10000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Homework 1
Note that each student will prepare and submit the homework assignments individually.
It is important that you complete this first assignment since the remaining assignments will be using the
work on this assignment. You will be using MS Excel or PHStat software. It is acceptable, if you prefer
to use another software for the study. Please let me know if you need help with the use of Excel.
You will be using the survey data given in ISSCM491 file for most of the homework problems.
These 800 employees have different occupations. The categorical variables used for occupation are
0. Managerial 1. Professional 2. Production 3. Admin. Support 4. Laborer
5. Finance 6. Corporate 8. Information Systems 9. Technical 10. Service
You will be working with the survey data of a specific occupation. The occupational group data that
you will be working is provided on the Announcements page of the course web site.
For all the questions during this quarter, the term Occupational Group refers to
the occupational group that you will be working.
The survey data (file ISSCM491.xlsx) can be downloaded from the Assignments page of the course website.
The Excel file ISSCM491.xlsx has the following three worksheets
Includes the survey information (questions).
Has the survey data as observed.
Has the same survey data sorted according to the occupational groups.
(This sorted data will be helpful to obtain the sample values of your occupational group).
Questions Part I:
1. Extract the employees of your group and save them with a meaningful file name
such as manag.xls, profe.xls, prod.xls etc.
2. Calculate the Descriptive Statistics for INCOME, Years WORKed and EDUCation for your Group.
3. Find the frequency distribution and Histogram for the INCOME of your Group
(See next page for using the Descriptive Statistics and Histogram options of MS Excel).
(a) Calculate the Descriptive Statistics for INCOME, Years WORKed and EDUCation for FEMALE
employees in your Group.
(b) Calculate the Descriptive Statistics for INCOME, Years WORKed and EDUCation for MALE
employees in your Group.
5. Select a random sample of 16 employees from this 800 observations.
(Note that this sample will be randomly selected from the whole 800 sample survey results,
not from the group you are working with).
(a) Explain how you have selected your sample to ensure that it is a random sample.
(b) What is the average (mean) AGE of the employees in your sample?
4.
Questions Part II: (These are general questions that do not use the sample survey data.
Your are asked to identify the population and suggest a sample selection for each case).
6. You would like to know, if there is a convincing evidence that newborns from mothers who smoke
have a different average birth weight than newborns from mothers who don't smoke?
(a) What is the population for this study?
(b) How do you select the sample for this study?
7. Suppose a pharmaceutical company had developed a new drug for lowering blood pressure,
and they are preparing a clinical trial (experiment) to test the drug's effectiveness.
(a) What is the population in this study?
(b) How do you proceed with this study? i.e., How do you collect the sample for this study?
Submit the file containing your answers to questions (1), (2), (3), (4), (5), (6) and (7) electronically
on the course website on Sakai.
Please write your name and your Occupational Group number on the first page of your submission.
Page 1 of 3 (Homework 1)
USING PHStat to calculate DECSRIPTIVE STATISTICS
PHStat--> Descritive Statistisc --> Descriptive Summary -->
Page 2
Page 2 of 3 (Homework 1)
To calculate Descriptive Statistics Using Excel
Step 1
Step 2
Select Data pane
Click Data Analysis …
Page 3
(Data analysis dialog window will open)
If Data Analysis… is not available on your tools menu, then the Analysis Toolpack has not been
installed in your system. See the FAQ on the course website.
Step 3
Choose Descriptive Statistics by clicking it once and then clicking the OK button
(The Descriptive Statistics dialog window will open. Provide the necessary information as shown below)
Step 4
Click the OK button. A new worksheet will be created with the results.
To construct a Histogram and Frequency Distribution Using Excel
Step 1
Step 2
Step 3
Select Data pane
Click Data Analysis …
(Data analysis dialog window will open)
Select Histogram option and click the OK button
(Next you will get the Histogram window. Provide the necessary information as shown below).
Step 4
Click the OK button. A new worksheet will be created with the results.
Page 3 of 3 (Homework 1)
QUESTION 1
1
2
3
4
5
6
7
8
9
ID_No
OCCUP
Resp
INCOME
Years
WORKed
EDUC
GENDER
AGE
Work
HRS
No
EARN
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
35.2
25.8
34.3
34.1
29.3
31.7
30.6
29.7
37.1
27.8
33.1
29.3
26.7
25.9
35.8
30.0
26.2
44.6
32.7
30.0
29.7
30.5
28.9
23.2
48.7
24.4
23.4
25.3
25.5
72.8
27.8
25.4
25.0
50.7
27.1
27.7
25.3
28.1
15
20
7
33
10
15
20
27
21
20
25
8
20
9
45
15
10
10
13
25
15
20
12
22
8
6
26
17
21
19
10
15
11
24
15
20
3
22
12
14
12
14
13
12
14
12
13
12
16
12
12
12
12
12
12
16
15
13
12
12
12
12
12
16
12
13
14
12
15
14
12
18
13
13
12
13
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
33
50
24
50
26
53
52
43
39
40
42
28
37
35
63
42
35
27
29
61
32
55
29
38
32
29
42
38
47
36
27
37
32
44
41
40
20
65
50
40
49
42
40
40
40
40
36
45
36
50
40
43
35
40
40
40
42
40
40
40
32
40
40
40
40
35
60
40
45
40
40
40
40
45
40
40
1
1
2
3
1
1
1
2
3
1
1
1
2
1
1
2
2
2
2
1
2
1
2
2
1
3
1
1
3
1
1
1
2
2
2
3
2
1
2
14
21
31
50
77
94
98
99
100
108
110
112
113
114
126
137
140
150
163
166
176
187
198
200
212
213
218
220
236
249
250
252
269
280
300
307
312
350
359
360
390
400
450
500
550
600
650
700
750
800
19
29
40
58
82
109
115
134
207
222
233
254
315
385
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
32.5
25.0
34.2
31.9
25.5
46.1
28.1
25.6
37.3
24.2
33.2
20.3
26.8
43.1
24.7
25.4
32.5
27.9
36.8
33.9
60.5
26.3
55.8
29.3
62.7
56.6
29.3
Total 2134.90
Average 32.84
25
6
30
21
34
36
4
24
20
20
37
20
27
7
15
16
10
17
18
10
20
24
24
16
31
32
18
12
12
12
12
12
16
14
14
12
17
13
13
12
16
16
12
12
14
13
13
16
12
12
9
14
12
12
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
1
1
1
1
61
23
55
31
56
56
30
42
38
38
58
57
69
25
35
32
27
27
37
29
37
41
41
33
48
48
35
40
44
50
47
40
40
48
37
40
37
32
32
29
40
40
40
40
40
40
41
50
72
45
56
80
40
40
1
2
2
3
2
1
2
1
4
1
1
2
1
1
2
1
3
2
4
2
2
1
1
1
2
4
2
1216.00
18.71
851.00
13.09
14.00
0.22
2602.00
40.03
2745.00
42.23
113.00
1.74
Marques Townes
Occup = 3
10
11
12
13
14
15
16
Fam
Inc
Job
Sat
Job
Char
Get
Ahead
Traumat
Events
Employ
Years
Number
Prom
25.2
17.4
27.4
69.6
19.6
35.7
47.3
57.8
31.2
17.8
34.2
19.3
26.5
15.9
38.7
23.0
43.4
69.3
43.1
20.0
38.9
20.5
21.9
16.7
38.7
28.3
29.7
15.3
68.7
63.4
17.8
15.4
25.4
49.2
32.4
31.4
27.1
18.2
1
3
3
2
2
2
2
1
2
1
4
2
2
1
1
1
2
1
2
1
2
2
1
2
2
3
1
1
4
1
1
1
2
3
2
2
1
1
1
1
4
5
3
5
5
5
5
1
5
1
1
5
2
2
1
5
2
1
5
1
5
5
1
1
4
5
5
4
5
1
3
1
5
5
4
5
2
1
2
1
1
2
1
1
1
1
2
1
1
1
3
3
1
1
3
2
1
2
1
1
1
1
1
1
3
1
3
1
1
2
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
0
0
4
10
5
3.5
4
12.5
3
9.41
16
0.5
12
3
10
1.5
22
7.08
2.5
5
4.33
18.33
11.58
15
3
1
6
3
1.08
4
1
2.16
2
15
10
22
4
7
1.5
13
3
0
1
1
5
1
1
1
0
0
1
0
0
1
1
0
3
4
0
0
3
2
1
0
0
0
1
1
0
0
0
3
0
0
0
1
0
1
Bins
15.0
25.0
35.0
45.0
55.0
65.0
75.0
22.5
37.3
27.9
40.2
44.5
36.9
41.8
16.4
72.6
49.2
23.2
42.5
16.8
33.1
46.9
15.4
32.5
46.5
34.0
43.0
59.2
16.3
49.4
23.2
56.1
71.0
45.0
1
3
2
1
2
1
2
4
1
2
2
2
1
4
2
1
1
2
3
2
2
1
1
1
4
1
2
5
2
1
1
5
1
1
1
4
5
5
1
5
5
5
1
5
5
4
4
5
5
5
4
1
5
1
3
1
2
1
1
1
2
2
1
1
2
2
1
3
2
2
1
1
1
3
1
3
1
1
3
1
1
0
0
0
0
0
0
1
0
0
0
1
1
0
0
3
0
0
2
0
0
0
1
0
0
0
0
0
17
2.5
30
10
21
30
1
2
10.5
5
5
3
25
1
0.75
0.16
5
0.5
16
3
8.5
18
8
4.5
9
25
8
1
0
3
0
0
3
1
0
4
0
0
0
3
1
2
0
0
0
0
2
2
0
4
0
1
1
0
2284.80
35.15
119.00
1.83
217.00
3.34
99.00
1.52
13.00
0.20
545.38
8.39
64.00
0.98
MidPoints
20
30
40
50
60
70
Question 2
Answer Using Excel --> Data --> Data Analysis --> Descriptive Statistics
INCOME
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Years WORKed
32.84461538
1.299195444
29.3
29.3
10.47444854
109.7140721
3.773770959
1.959863291
52.5
20.3
72.8
2134.9
65
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
EDUC
18.70769
1.072767
20
20
8.648922
74.80385
0.355163
0.536996
42
3
45
1216
65
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
13.09231
0.201822
12
12
1.627144
2.647596
0.951554
0.969298
9
9
18
851
65
Question 3
Answer Using Excel --> Data --> Data Analysis --> Histogram
Histogram
40
30
20
10
0
Frequency
15.0
20.0
25.0
30.0
35.0
40.0
45.0
50.0
55.0
60.0
65.0
70.0
75.0
More
Frequency
Bin
Frequency
15.0
0
20.0
0
25.0
6
30.0
31
35.0
13
40.0
5
45.0
2
50.0
2
55.0
1
60.0
2
65.0
2
70.0
0
75.0
1
More
0
Bin
Question 4(a)
Descriptive Statistics for Female (0)
Answer Using Excel --> Data --> Data Analysis --> Descriptive Statistics
INCOME
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Years WORKed
31.17843
1.220168
29.3
29.3
8.713743
75.92933
9.976643
2.70447
52.5
20.3
72.8
1590.1
51
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
EDUC
18.78431
1.265008
20
20
9.033966
81.61255
0.364075
0.540109
42
3
45
958
51
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
13.09804
0.215579
12
12
1.539544
2.370196
1.47951
1.472344
6
12
18
668
51
Question 4(b)
Descriptive Statistics for Male (1)
Answer Using Excel --> Data --> Data Analysis --> Descriptive Statistics
INCOME
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Years WORKed
38.91429
3.756224
33.2
29.3
14.0545
197.529
-1.17405
0.745903
38
24.7
62.7
544.8
14
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
EDUC
18.42857
1.968751
17.5
16
7.366392
54.26374
-0.17531
0.465619
25
7
32
258
14
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
13.07143
0.528987
12.5
12
1.979288
3.917582
0.184634
0.024092
7
9
16
183
14
QUESTION 5
Sample #
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
474
8
29.3
10
13
0
426
6
33.7
25
16
0
1
4
35.7
25
14
0
666
7
41.9
34
16
1
196
11
69.3
30
16
1
128
4
47.3
10
14
1
383
4
32.6
32
10
1
764
6
38.0
26
18
1
96
11
50.8
35
12
1
180
1
50.1
25
15
1
634
9
21.1
4
12
0
18
0
36.6
43
16
1
587
8
28.9
12
12
0
375
4
27.6
8
12
1
663
9
31.4
22
12
1
284
11
30.8
9
14
1
AGE
26
42
64
51
47
27
47
43
52
41
21
59
29
25
41
26
Work
HRS
40
40
30
40
50
65
40
56
40
50
55
40
32
63
45
40
5a) To ensure that the chosen samples are random, the ID number of the employees which range from 1 to 800 is
generated by using the function RANDBETWEEN(1, 800). Through this, Excel will automatically generate random
from 1 to 800 (inclusive).Through this, it can be assured that there is no bias in choosing the samples. In order to
changing (random numbers always change), the generated numbers were copied and pasted (Paste Special
QUESTION 5(b)
Sample #
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
474
8
29.3
10
13
0
426
6
33.7
25
16
0
1
4
35.7
25
14
0
666
7
41.9
34
16
1
196
11
69.3
30
16
1
128
4
47.3
10
14
1
383
4
32.6
32
10
1
764
6
38.0
26
18
1
96
11
50.8
35
12
1
180
1
50.1
25
15
1
634
9
21.1
4
12
0
18
0
36.6
43
16
1
587
8
28.9
12
12
0
375
4
27.6
8
12
1
663
9
31.4
22
12
1
284
11
30.8
9
14
1
AGE
26
42
64
51
47
27
47
43
52
41
21
59
29
25
41
26
Work
HRS
40
40
30
40
50
65
40
56
40
50
55
40
32
63
45
40
AVERAGE
37.8
5b) The average age of the sample is 40.1
21.9
13.9
0.7
40.1
45.4
No
EARN
1
3
2
1
4
2
2
2
2
3
4
1
2
2
1
1
Fam
Inc
19.6
51.2
81.9
33.5
89.2
39.7
47.5
36.7
96.2
45.1
35.7
35.4
21.9
30.8
21.4
20.8
Job
Sat
2
1
1
2
1
2
1
3
3
2
1
2
1
1
1
1
Job
Char
3
1
3
5
5
1
5
1
5
4
5
5
5
1
1
4
Get
Ahead
1
1
2
3
1
1
1
1
1
1
1
1
1
1
1
2
Traumat Employ
Events
Years
0
4
1
5.5
0
11
0
6
0
23.58
1
2
0
10
0
5.5
1
0.08
0
6
0
2
1
1.5
0
3
0
4
0
0.25
0
1.5
Num
Prom
5
0
0
1
3
0
1
0
0
2
0
1
1
1
0
1
Job
Sat
2
1
1
2
1
2
1
3
3
2
1
2
1
1
1
1
Job
Char
3
1
3
5
5
1
5
1
5
4
5
5
5
1
1
4
Get
Ahead
1
1
2
3
1
1
1
1
1
1
1
1
1
1
1
2
Traumat Employ
Events
Years
0
4
1
5.5
0
11
0
6
0
23.58
1
2
0
10
0
5.5
1
0.08
0
6
0
2
1
1.5
0
3
0
4
0
0.25
0
1.5
Num
Prom
5
0
0
1
3
0
1
0
0
2
0
1
1
1
0
1
h range from 1 to 800 is
ically generate random numbers
e samples. In order to stop it from
ed (Paste Special -> Values).
No
EARN
1
3
2
1
4
2
2
2
2
3
4
1
2
2
1
1
Fam
Inc
19.6
51.2
81.9
33.5
89.2
39.7
47.5
36.7
96.2
45.1
35.7
35.4
21.9
30.8
21.4
20.8
2.1
44.2
1.6
3.4
1.3
0.3
5.4
1.0
6a) There are two populations of concern in this study. The first population is all the mothers
who smoke and the second population is all the mothers who do not smoke.
6b) A good sample of this study is a random sample of mothers who are found in the same
area and who are of the same ethnicity. This way, there will be a lesser bias with the weight of
the newborn babies since other factors that may affect weight are excluded.
weight of
7a) The population of this study would be all patients that have high blood pressure.
7b) In order to proceed with the study, the subjects have to be chosen. The only possible humane way of doing
this is through human volunteers. In most cases, there are volunteers who agree to do this because they gain
access to new research treatments before these treatments become widely available. Also, these volunteers can
actually help others by being able to contribute to medical research. Upon doing this, there is a need to secure a
written "informed consent" of these volunteers regarding the risks and benefits of the clinical trial.
ble humane way of doing
this because they gain
Also, these volunteers can
here is a need to secure a
linical trial.
Employee Satisfaction Survey
Page A0
Gemini Healthcare (GH) is a not-for-profit, academic health system. GH is affiliated with the Medical School
of the local university. The GH system includes three hospitals—American, Badger, and County Hospital.
American Hospital with 400 beds is the major hospital of Gemini Healthcare. Badger Hospital is a 150-bed
facility. County Hospital with 250 beds has provided high-quality healthcare for more than 30 years.
Gemini Healthcare employs 10,000 people in its facilities. As part of its movement to implement a Total
Quality Management (TQM) philosophy and to improve the productivity, the management of Gemini
Healthcare wants to develop an employee profile that will measure job satisfaction. The company hires
L&B Corporation, a management consulting firm, to survey Gemini employees. After careful consideration,
the Human Resources department and a statistician from the L&B Corporation determine that a survey will
be sufficient to obtain the information. Given below is the list of the 16 questions used in the survey. The
Vice-President of the Human Resources and the statistician decided that a sample size of 800 would be
sufficient to obtain a confident result. The responses of the 800 full-time employees who have participated
in the survey are given on Pages A1-A12.
Survey Questions:
1 Identification number
2 What is your occupation?
0. Managerial 1. Professional 2. Production 3. Admin. Support
4. Laborer 5. Finance 6. Corporate 7. Sales
8. Information Systems 9. Technical 10. Service
3
4
5
6
What was your "before tax" income last year?
How many years you have worked full time (since you were 16)?
How many years of school you have completed?
What is your gender?
(0=Female, 1=Male)
7
8
9
10
11
What is your age (as of last birthday)?
How many hours did you work last week?
Among family members, how many were employed last year?
What was your "before tax" total family income last year?
On the whole, how satisfied are you with your job?
(1=Very Satisfied, 2=Moderately Satisfied, 3= A Little Satisfied, 4=Very Dissatisfied)
12 Which one of the following characteristics is most important to you?
(1=High Income, 2=No Danger of Being Fired, 3=Flexible Hours,
4=Opportunities for Advancement, 5= Enjoying the Work)
13 Which one of the following is the way most people get ahead on the job?
(1=Hard Work, 2=Hard Work and Luck, 3=Luck)
14 How many traumatic events did you experienced last year?
15 How many years altogether you have worked for your present employer?
MY OCCUPATION IS #3 ADMI
Page A3
Employee Satisfaction Survey Results (SORTED by OCCUPATION)
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
1
4
35.7
25
14
0
2
3
35.2
15
12
0
3
0
88.3
14
20
1
4
0
50.5
12
15
1
5
11
30.2
3
14
1
6
11
45.7
40
14
1
7
11
30.0
10
14
0
8
2
28.0
10
13
0
9
1
70.8
15
18
1
10
0
48.4
15
16
1
11
1
41.0
13
12
0
12
2
86.6
30
13
1
13
11
43.3
12
12
0
14
3
25.8
20
14
0
15
4
37.5
31
4
1
16
11
64.2
23
16
1
17
11
42.0
20
12
0
18
0
36.6
43
16
1
19
3
43.1
7
16
1
20
4
20.5
3
11
1
21
3
34.3
7
12
0
22
2
43.3
17
10
1
23
11
43.8
14
16
1
24
11
45.7
20
13
0
25
5
54.7
13
16
0
26
1
33.7
25
16
0
27
11
66.4
27
13
1
28
2
52.7
18
15
1
29
3
24.7
15
16
1
30
0
41.3
18
12
0
31
3
34.1
33
14
0
32
11
40.3
15
12
0
33
11
55.2
24
13
1
34
1
27.9
9
16
0
35
11
30.4
11
17
0
36
2
36.3
23
13
1
37
1
31.6
12
16
0
38
0
58.7
19
19
1
39
11
28.4
23
15
1
40
3
25.4
16
12
1
41
0
63.7
42
14
1
42
1
27.0
7
16
0
43
4
21.5
1
12
1
44
1
27.7
14
16
0
45
11
21.8
18
9
0
46
0
85.6
23
18
1
47
1
37.6
9
18
1
48
0
42.8
22
17
0
49
11
26.6
3
14
0
50
3
29.3
10
13
0
51
0
60.1
20
17
0
52
1
46.3
7
19
1
53
0
40.3
16
18
1
54
11
51.5
12
12
1
55
1
39.8
23
17
0
56
0
42.2
2
16
1
57
11
50.2
14
16
0
58
3
32.5
10
12
1
59
0
30.1
18
17
1
60
11
31.6
4
9
0
61
0
60.6
36
16
1
62
0
32.5
23
13
0
63
2
66.7
27
14
1
64
0
25.5
5
11
0
65
2
27.0
13
10
0
66
4
26.5
27
12
1
67
0
53.3
18
15
1
7
AGE
64
33
35
33
23
60
37
25
39
35
35
49
34
50
49
39
61
59
25
20
24
33
30
37
26
42
43
35
35
34
50
34
41
44
27
40
33
38
41
32
58
28
18
33
34
39
31
48
21
26
29
33
36
28
40
25
39
27
40
27
53
39
47
27
40
27
35
8
Work
HRS
30
50
50
40
40
40
40
40
50
30
32
55
40
40
40
40
40
40
40
50
49
30
55
64
40
40
50
40
40
48
42
50
45
40
40
40
32
50
89
40
48
40
45
40
38
40
40
40
40
40
40
45
32
62
40
40
40
40
40
40
50
46
72
40
40
30
50
9
No
EARN
2
1
2
2
1
1
1
3
1
1
1
2
2
1
1
2
1
1
1
2
2
2
1
1
2
3
4
2
2
2
3
4
2
3
2
3
2
2
1
1
2
1
5
1
3
1
1
1
2
1
1
1
2
2
1
2
1
3
2
3
3
2
1
2
2
1
1
10
Fam
Inc
81.9
25.2
85.3
85.6
20.2
35.7
15.0
49.5
60.8
38.4
33.5
93.5
55.2
17.4
27.6
67.2
34.6
35.4
33.1
14.3
27.4
42.8
33.8
35.7
65.3
51.2
91.8
51.8
46.9
67.7
69.6
34.2
18.5
34.2
36.2
29.9
46.6
68.0
19.2
15.4
56.5
20.0
55.5
19.3
43.7
91.8
29.4
33.5
60.7
19.6
50.1
37.4
71.3
47.1
44.1
43.2
45.2
32.5
35.1
48.9
75.1
50.3
59.5
30.4
19.3
17.0
43.3
11
Job
Sat
1
1
2
2
1
1
2
2
2
2
1
3
2
3
2
1
1
2
4
1
3
3
1
1
1
1
1
1
2
1
2
2
2
1
2
1
1
1
3
1
2
1
3
1
2
1
2
2
2
2
1
2
4
1
4
1
2
1
2
2
2
1
1
4
2
2
1
Page A1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
3
2
0
11
0
1
2
0
4
3
4
1
0
3
0
3
1
0
9
2
1
1
0
1.5
0
1
1
0
20
0
1
2
0
1.5
0
5
3
1
1.5
0
5
1
0
5
0
1
2
0
3
2
1
1
0
1.5
0
1
1
0
5
0
1
1
0
6
1
1
1
0
10
0
3
2
1
22.08
0
5
1
0
0.5
0
1
1
0
0.75
0
5
1
1
1.5
1
5
3
0
1
1
1
1
0
1
3
4
2
0
5
1
5
1
0
5
0
5
1
0
5
1
5
1
1
3
0
4
1
0
3.5
1
1
1
1
5.5
0
4
1
0
12
2
5
1
0
0.5
0
5
2
3
0.75
2
3
1
0
3
0
5
1
0
3.5
1
3
3
1
8
2
1
1
0
2
0
1
3
0
5.5
0
5
1
0
7
0
1
1
0
10
1
5
3
0
2.58
0
4
1
0
15
4
1
1
0
1
0
1
2
0
0.16
0
4
3
0
36
4
5
1
0
12.33
1
1
1
0
1
0
5
2
0
3
0
1
1
0
1.5
1
5
2
1
3
0
5
1
0
4
0
5
1
0
6
2
5
1
0
0.66
0
3
1
0
4
5
5
1
0
16
0
5
1
0
4
1
5
2
0
4.08
1
4
2
0
5
3
5
3
0
4.5
0
4
1
0
2
0
5
1
0
2
1
5
1
0
5
0
1
1
0
11.83
4
5
1
0
4
0
1
3
0
10
0
5
1
0
1
0
1
1
0
5
0
2
2
1
2
2
5
3
0
4
0
5
1
2
0.5
0
1
1
1
10
0
Page A4
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
68
11
32.0
8
16
1
69
4
20.2
34
9
1
70
1
51.3
13
16
1
71
4
64.2
26
12
1
72
1
29.8
12
14
0
73
2
60.0
32
12
1
74
0
54.7
13
16
0
75
0
26.0
6
16
0
76
9
24.6
20
12
0
77
3
31.7
15
12
0
78
0
33.6
11
16
1
79
2
49.0
30
12
1
80
4
40.9
37
14
1
81
2
42.3
11
13
1
82
3
27.9
17
14
1
83
1
49.8
42
15
1
84
1
47.2
19
16
0
85
1
64.6
30
16
1
86
2
28.8
24
14
0
87
4
49.6
8
17
1
88
11
88.0
23
14
1
89
0
35.2
20
12
0
90
1
74.5
21
20
1
91
0
38.6
21
13
0
92
0
71.7
25
16
0
93
0
45.1
12
16
0
94
3
30.6
20
14
0
95
11
23.7
15
12
0
96
11
50.8
35
12
1
97
2
49.2
8
15
1
98
3
29.7
27
12
0
99
3
37.1
21
13
0
100
3
27.8
20
12
0
101
4
24.6
20
12
0
102
11
38.4
17
14
1
103
11
31.1
8
14
1
104
2
25.0
14
12
1
105
1
39.2
18
18
1
106
11
33.0
15
16
1
107
2
30.0
8
10
1
108
3
33.1
25
16
0
109
3
36.8
18
13
1
110
3
29.3
8
12
0
111
11
20.3
6
16
1
112
3
26.7
20
12
0
113
3
25.9
9
12
0
114
3
35.8
45
12
0
115
3
33.9
10
13
1
116
4
28.9
16
14
1
117
2
46.3
10
12
1
118
1
68.0
34
20
0
119
11
40.7
25
15
0
120
1
61.8
27
17
1
121
11
32.1
7
15
1
122
11
42.5
24
12
1
123
0
34.8
14
16
0
124
12
51.5
26
16
0
125
0
38.5
17
12
0
126
3
30.0
15
12
0
127
11
37.1
8
12
1
128
4
47.3
10
14
1
129
4
26.7
20
12
0
130
11
61.8
49
12
1
131
11
32.7
15
14
0
132
2
52.5
27
8
1
133
1
54.4
28
19
1
134
3
60.5
20
16
1
135
11
91.7
36
16
1
136
11
65.3
20
16
1
137
3
26.2
10
12
0
7
AGE
25
53
35
43
33
48
26
23
49
53
29
53
43
30
27
59
36
52
40
29
40
36
38
64
43
28
52
48
52
29
43
39
40
49
34
25
32
39
32
25
42
37
28
23
37
35
63
29
33
26
50
49
44
25
41
44
48
36
42
26
27
48
65
33
44
48
37
52
38
35
8
Work
HRS
40
35
40
48
40
40
40
40
40
40
55
40
40
40
40
35
40
40
50
59
40
45
45
43
55
46
40
30
40
50
40
36
45
40
48
50
42
32
40
40
36
40
50
60
40
43
35
41
50
44
40
40
35
31
40
40
45
60
40
40
65
40
40
40
40
55
50
70
60
40
9
No
EARN
3
1
1
2
3
3
2
1
4
1
1
2
1
2
2
2
1
2
2
2
2
1
1
1
2
1
1
2
2
1
2
3
1
4
2
1
1
3
1
1
1
4
1
3
2
1
1
2
2
1
2
3
3
2
1
3
1
3
2
1
2
3
4
2
1
4
2
1
2
2
10
Fam
Inc
52.3
15.6
41.3
67.9
62.5
54.1
65.3
16.9
82.5
35.7
34.8
43.9
30.9
39.3
46.5
69.0
38.8
56.7
57.4
46.6
92.9
25.9
65.7
35.2
78.8
38.3
47.3
36.1
96.2
63.6
57.8
31.2
17.8
82.5
33.4
29.9
15.0
62.6
23.5
20.0
34.2
34.0
19.3
38.4
26.5
15.9
38.7
43.0
22.4
36.3
98.7
50.8
61.6
39.8
23.4
48.2
42.1
59.0
23.0
38.2
39.7
46.8
68.0
83.3
49.2
66.8
59.2
81.7
59.0
43.4
11
Job
Sat
1
1
2
1
2
2
1
1
2
2
2
2
1
2
2
1
2
4
1
1
1
3
1
1
1
2
2
1
3
1
1
2
1
2
1
2
3
1
2
3
4
3
2
2
2
1
1
2
2
2
2
2
2
1
1
1
1
4
1
1
2
2
1
2
2
2
2
1
1
2
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
5
1
0
2.5
0
5
1
1
5
0
5
1
0
6.41
3
1
1
0
11
2
1
1
1
2
1
4
3
2
21
4
4
1
0
3.5
1
2
1
0
0.75
0
1
1
0
4
0
5
2
0
12.5
1
5
1
0
1
1
5
1
0
0.08
0
5
3
0
2
0
5
1
0
10
2
5
1
2
0.5
0
5
1
0
6
0
4
2
0
12.5
1
5
1
0
21
1
5
3
0
1.5
1
1
2
0
2.83
0
5
1
0
4.33
0
1
1
0
10
1
5
3
0
4
2
4
1
0
7
1
5
1
0
18
2
5
1
0
0.16
0
5
1
0
3
1
5
1
0
1.66
0
5
1
1
0.08
0
4
2
0
1
0
5
1
0
9.41
1
5
1
0
16
0
1
1
0
0.5
0
1
1
0
4
0
5
1
0
10
2
2
1
0
3
0
4
3
0
1
0
3
2
0
2
0
1
1
0
3
3
4
3
0
2
3
5
2
0
12
1
4
1
0
16
0
1
1
0
3
0
1
3
0
1
1
1
1
0
10
0
5
1
0
1.5
1
2
3
0
22
1
4
3
0
3
2
5
2
1
1
0
1
1
0
2.5
0
3
3
0
8
0
5
1
0
3.41
0
5
3
0
22
0
2
1
0
1
1
1
1
0
10.5
1
1
1
0
5
3
4
2
0
4
0
1
1
0
9.5
1
2
3
0
7.08
0
1
3
0
1
0
1
1
1
2
0
5
1
0
9
0
4
1
1
12.41
2
3
3
0
3.75
0
4
3
0
11
1
4
3
0
5.66
0
5
1
0
8.5
2
5
1
0
1
0
5
1
0
2.66
0
1
1
0
2.5
3
Page A5
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
138
0
52.6
12
16
1
139
2
52.3
16
12
1
140
3
44.6
10
16
0
141
4
32.5
6
12
1
142
0
57.1
45
11
1
143
11
49.1
24
13
1
144
4
24.9
9
15
1
145
11
26.0
19
18
0
146
11
43.1
19
16
1
147
0
31.2
20
12
0
148
2
31.7
15
11
1
149
11
35.1
30
10
0
150
3
32.7
13
15
0
151
1
37.0
15
19
0
152
11
26.1
3
10
1
153
2
40.4
14
12
1
154
1
38.6
6
17
1
155
11
35.2
9
14
1
156
11
40.6
15
17
1
157
2
40.9
33
12
1
158
4
45.1
31
12
1
159
4
23.9
10
14
0
160
11
27.1
20
10
0
161
11
51.5
26
16
0
162
4
36.7
19
16
1
163
3
30.0
25
13
0
164
11
32.7
21
14
1
165
11
48.2
23
12
1
166
3
29.7
15
12
0
167
4
55.3
14
12
1
168
4
44.0
12
12
1
169
1
67.8
22
20
1
170
0
43.3
20
20
0
171
4
55.3
30
16
1
172
11
48.1
32
14
1
173
0
24.7
7
16
1
174
11
34.7
27
13
0
175
11
23.6
5
13
0
176
3
30.5
20
12
0
177
1
45.5
13
12
1
178
1
58.6
15
20
1
179
2
54.8
18
13
1
180
1
50.1
25
15
1
181
1
61.4
29
18
1
182
1
39.9
38
18
1
183
4
33.7
40
8
1
184
1
36.4
40
10
1
185
2
40.8
25
13
1
186
11
55.7
15
16
1
187
3
28.9
12
12
0
188
1
47.9
30
18
0
189
0
57.7
15
12
1
190
11
49.0
27
16
1
191
0
42.4
11
20
1
192
4
41.2
21
14
1
193
0
36.7
26
12
0
194
4
26.4
13
12
1
195
4
36.1
13
10
1
196
11
69.3
30
16
1
197
0
52.3
18
16
1
198
3
23.2
22
12
0
199
4
21.9
35
14
0
200
3
48.7
8
12
0
201
11
43.7
24
14
0
202
11
36.9
11
16
1
203
0
33.0
16
12
0
204
11
27.3
16
14
0
205
11
48.3
24
12
1
206
0
69.3
18
12
1
207
3
26.3
24
12
1
7
AGE
34
34
27
23
62
41
26
36
37
39
33
61
29
47
20
31
28
22
36
51
48
30
40
48
35
61
38
40
32
32
33
39
58
47
50
24
44
30
55
30
31
37
41
46
57
61
58
49
32
29
47
32
44
34
38
42
30
29
47
40
38
55
32
43
37
32
31
44
39
41
8
Work
HRS
43
52
40
46
50
76
38
42
40
40
40
40
42
41
54
60
50
40
40
67
44
37
40
45
48
40
38
40
40
52
40
60
45
52
40
50
50
40
40
40
60
60
50
55
49
32
40
40
40
32
40
60
40
55
60
60
42
40
50
70
40
40
40
40
40
55
40
89
50
72
9
No
EARN
1
1
2
2
1
2
2
2
4
1
1
1
2
1
2
1
2
1
1
3
2
2
2
1
2
1
3
2
2
1
2
2
2
1
2
2
4
2
1
1
2
1
3
2
3
2
1
2
1
2
1
2
2
1
2
3
1
2
4
1
2
2
1
2
1
2
2
2
2
1
10
Fam
Inc
42.6
42.3
69.3
25.3
47.1
46.1
39.1
71.2
51.2
21.2
39.2
25.5
43.1
36.3
22.5
32.4
31.1
25.2
30.6
47.4
63.2
43.4
15.0
42.1
46.6
20.0
49.5
66.2
38.9
45.3
46.4
78.6
35.5
46.0
50.5
25.3
56.6
21.9
20.5
35.5
51.2
45.5
45.1
90.4
34.6
26.6
26.4
58.7
45.7
21.9
37.9
69.7
69.6
32.4
50.0
38.2
17.3
28.6
89.2
42.3
16.7
24.0
38.7
21.3
26.9
32.2
27.6
46.1
74.0
16.3
11
Job
Sat
1
2
1
2
1
1
1
4
2
2
2
1
2
4
2
2
2
2
1
1
2
2
1
1
2
1
2
1
2
1
3
1
1
2
3
2
1
4
2
1
1
2
2
1
2
2
1
4
2
1
3
2
1
1
2
2
3
2
1
1
2
1
2
1
1
2
1
1
1
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
5
3
0
5.5
1
5
1
0
13
2
5
1
0
5
4
5
1
1
1.41
0
1
2
0
52.25
4
5
1
0
27.16
4
5
1
5
0.5
1
5
1
1
1
0
5
1
2
19
4
5
1
0
10
0
5
1
0
1
2
5
2
0
13
3
2
3
0
4.33
0
1
1
0
1
0
4
2
0
3
0
5
2
0
12.5
3
5
1
0
4.58
2
5
2
0
1
0
5
1
0
7
3
4
3
1
32.33
0
2
3
0
24.75
2
5
1
0
4
0
1
1
0
17
0
4
2
0
4
0
1
1
0
12
1
1
2
0
18.33
0
2
1
0
2.66
2
2
1
0
3
1
5
1
1
11.58
3
5
1
0
13
3
5
1
1
11
0
5
1
0
17
2
4
2
0
12
0
5
3
0
8
0
5
2
0
22.5
2
5
2
0
1
0
1
1
0
10
0
5
2
0
2
0
1
2
0
15
2
1
1
0
1.5
0
5
1
0
3
1
5
2
0
3
0
4
1
0
6
2
5
2
0
7
4
5
1
0
34
0
5
1
1
40
0
1
2
0
3.91
0
5
2
0
6
0
5
1
0
7
1
5
1
0
3
1
3
1
0
2
0
1
1
0
12
5
4
1
0
22
4
5
1
0
4
1
5
1
0
15
2
5
1
2
22
3
5
2
1
1.5
0
2
3
0
0.25
0
5
1
0
23.58
3
5
1
0
2
0
5
1
1
1
0
5
1
1
29.5
1
1
1
0
6
0
1
2
0
22.25
1
5
1
0
5
2
5
1
0
11
1
1
1
0
10
2
4
1
0
0.66
0
5
2
0
11
2
5
3
1
18
0
Page A6
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
208
11
44.4
13
14
1
209
4
41.4
41
8
1
210
1
63.8
38
18
1
211
2
36.4
54
12
1
212
3
24.4
6
16
0
213
3
23.4
26
12
0
214
11
33.1
12
16
1
215
4
22.0
19
14
1
216
2
32.8
7
12
1
217
0
40.7
22
16
1
218
3
25.3
17
13
0
219
1
37.9
20
16
0
220
3
25.5
21
14
0
221
9
21.9
35
14
0
222
3
55.8
24
12
1
223
4
39.5
21
15
1
224
1
30.4
4
16
0
225
1
47.7
24
20
0
226
11
33.4
11
14
0
227
4
35.9
11
12
1
228
2
36.8
20
12
1
229
0
51.2
11
15
1
230
11
36.0
8
16
1
231
11
45.2
42
11
1
232
4
23.1
20
12
1
233
3
29.3
16
9
1
234
4
21.1
4
12
0
235
11
28.7
20
9
0
236
3
72.8
19
12
0
237
0
35.2
22
16
0
238
1
31.1
10
13
1
239
11
46.6
25
17
1
240
1
39.3
11
12
1
241
4
29.3
30
8
1
242
1
42.2
14
18
0
243
2
53.6
22
15
1
244
1
38.1
20
16
0
245
11
25.3
13
14
0
246
11
35.0
16
17
0
247
2
25.3
34
13
1
248
11
42.6
14
14
1
249
3
27.8
10
15
0
250
3
25.4
15
14
0
251
0
35.9
19
14
0
252
3
25.0
11
12
0
253
4
40.3
25
13
1
254
3
62.7
31
14
1
255
0
55.7
17
16
1
256
1
38.6
14
20
0
257
0
26.2
20
16
1
258
0
54.7
45
15
1
259
2
28.1
5
12
0
260
0
65.0
45
14
1
261
11
37.5
17
12
1
262
4
35.2
16
11
1
263
4
31.4
22
12
1
264
1
35.5
21
16
0
265
4
26.1
33
10
1
266
2
41.9
34
16
1
267
0
60.4
35
14
1
268
2
26.2
13
13
1
269
3
50.7
24
18
0
270
0
64.9
20
16
1
271
1
28.1
24
18
0
272
1
60.9
14
12
1
273
2
36.1
22
14
1
274
8
25.4
15
14
0
275
0
37.6
28
12
0
276
0
33.9
26
19
0
277
11
68.0
48
12
1
7
AGE
30
58
55
60
29
42
41
35
24
39
38
37
47
55
41
38
26
41
31
29
38
33
25
62
42
33
21
50
36
41
27
42
28
46
32
40
39
30
33
56
30
27
37
36
32
44
48
39
31
39
62
21
62
34
35
41
45
54
51
52
29
44
40
41
31
40
37
43
41
64
8
Work
HRS
40
65
75
68
40
40
38
48
50
45
35
35
60
40
45
60
45
35
40
45
40
40
60
45
40
56
55
40
40
50
57
47
60
40
40
46
40
43
45
40
40
45
40
65
40
50
80
40
45
60
40
72
40
45
40
45
50
40
40
40
60
40
50
40
45
40
40
46
40
48
9
No
EARN
2
3
2
1
3
1
1
2
2
1
1
1
3
2
1
2
1
2
2
2
2
1
1
2
2
1
4
2
1
1
2
1
2
4
1
1
2
2
1
1
2
1
1
1
2
2
2
2
1
1
2
4
3
3
1
1
2
3
1
1
2
2
2
2
1
1
1
1
2
2
10
Fam
Inc
38.3
42.3
74.3
35.4
28.3
29.7
26.9
15.8
34.5
34.1
15.3
35.2
68.7
24.0
49.4
49.7
53.9
61.6
45.6
33.5
34.1
41.2
39.9
34.2
25.8
23.2
35.7
24.8
63.4
26.9
28.3
39.2
44.0
24.0
32.2
51.4
68.7
28.9
26.3
15.3
32.4
17.8
15.4
26.6
25.4
37.7
56.1
68.5
28.6
16.8
49.4
77.9
85.4
45.2
28.4
21.4
70.4
26.4
33.5
53.7
41.2
49.2
82.7
47.1
55.1
26.1
15.4
27.6
55.3
98.6
11
Job
Sat
2
2
3
1
3
1
2
2
2
3
1
2
4
1
1
1
2
1
1
2
2
2
2
2
1
1
1
2
1
1
2
1
3
2
1
1
2
1
2
1
2
1
1
1
2
2
4
2
2
1
1
1
1
1
2
1
2
1
2
1
1
3
3
1
1
2
1
2
2
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
1
1
0
11
3
2
1
0
3
0
4
3
4
29
2
1
1
0
10
4
1
1
0
3
0
4
1
0
1.08
1
4
1
0
12
0
2
1
0
7
1
5
1
0
3
0
4
3
0
9
2
5
1
1
4
1
1
1
0
14
0
5
3
0
1
0
5
1
1
29.5
1
5
1
0
8
4
1
3
0
4
1
1
1
0
4
0
3
2
0
17
0
5
2
0
5.5
0
1
1
0
3
0
5
2
0
7
0
5
3
0
10
0
4
1
0
3
0
5
1
0
23
0
1
1
0
12.83
0
4
1
0
4.5
0
5
1
0
2
0
1
1
0
10
0
4
1
0
2.16
0
5
1
0
2.33
0
5
1
0
0.33
1
2
2
2
5
0
5
1
0
5.5
5
1
1
1
2
0
5
1
0
5
0
5
1
0
18
6
3
1
1
5
1
5
3
3
0.25
1
5
1
0
1
0
5
1
0
1.83
0
5
2
0
6
0
5
3
0
2
0
1
1
1
15
3
5
3
0
6
0
3
1
0
10
0
1
1
1
15
0
1
3
0
9
1
4
3
0
16
1
5
2
0
1
0
1
1
2
3.25
0
2
1
0
27
2
1
1
0
1.08
0
1
1
0
1.91
2
4
2
0
2.08
1
1
3
0
13
0
1
1
0
0.25
0
1
1
0
20
3
2
2
0
33
2
5
3
0
6
1
2
2
0
31.91
3
1
3
0
5
1
1
2
0
22
0
5
1
0
6
1
5
1
0
0.25
0
1
1
0
0.66
0
5
2
0
15
1
1
1
1
15
3
5
3
0
14
1
5
1
0
4
0
5
1
1
29
3
Page A7
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
278
1
37.0
23
13
0
279
4
43.0
35
8
1
280
3
27.1
15
13
0
281
2
36.6
20
12
1
282
8
25.5
34
12
0
283
1
36.0
10
18
0
284
11
30.8
9
14
1
285
0
31.3
28
12
1
286
1
33.4
9
16
0
287
0
51.2
16
14
1
288
11
35.8
19
12
0
289
2
49.2
20
14
1
290
11
61.6
12
16
1
291
0
38.1
25
13
0
292
4
37.5
29
12
1
293
11
34.0
16
14
0
294
0
49.6
30
13
0
295
0
40.2
6
16
0
296
8
27.7
20
13
0
297
2
61.2
37
14
1
298
0
86.4
38
12
1
299
1
29.5
27
18
1
300
3
27.7
20
13
0
301
0
39.4
25
16
0
302
4
52.8
38
14
1
303
0
24.7
26
13
1
304
4
30.5
27
16
0
305
1
30.4
27
16
1
306
4
28.2
45
11
0
307
3
25.3
3
12
0
308
1
53.4
25
19
0
309
1
48.5
18
14
1
310
2
46.6
21
14
1
311
11
41.2
20
15
1
312
3
28.1
22
13
0
313
1
40.4
33
18
1
314
1
43.4
14
16
0
315
3
56.6
32
12
1
316
1
77.0
35
19
1
317
1
43.7
32
16
0
318
1
49.4
19
14
1
319
11
41.3
9
16
0
320
1
101.9
35
16
1
321
0
43.7
25
16
0
322
0
26.6
5
15
0
323
2
53.6
27
12
1
324
4
32.5
12
12
1
325
11
27.6
10
12
0
326
4
41.8
45
8
1
327
1
37.9
27
18
1
328
11
39.4
23
12
0
329
2
35.0
35
12
1
330
4
46.9
21
12
1
331
2
52.7
35
12
1
332
1
47.7
26
15
1
333
0
62.6
8
14
1
334
4
35.7
11
11
0
335
2
42.5
42
12
1
336
4
31.6
12
16
0
337
2
57.2
16
14
1
338
11
46.9
23
12
1
339
11
27.4
34
12
0
340
4
24.7
8
12
0
341
1
32.7
12
16
0
342
2
23.2
10
14
1
343
2
32.5
35
11
0
344
4
33.3
22
12
1
345
1
35.4
19
18
0
346
11
27.8
17
16
1
347
11
48.4
24
12
0
7
AGE
40
52
41
38
56
26
26
45
26
33
38
36
36
45
45
34
51
38
40
54
57
43
40
45
54
43
48
44
57
20
49
39
41
37
65
50
57
48
53
52
38
33
63
51
43
44
30
42
62
38
54
52
38
55
43
25
36
53
28
32
40
57
27
38
28
52
39
36
38
41
8
Work
HRS
51
40
40
40
40
40
40
40
40
55
32
40
60
36
50
40
40
40
45
50
32
54
45
40
50
40
35
40
40
40
28
40
40
40
40
40
34
40
50
60
52
40
45
40
38
40
50
40
40
60
40
40
48
44
60
73
48
40
60
40
60
42
32
40
75
50
50
60
60
40
9
No
EARN
2
1
2
2
2
1
1
1
1
1
2
1
1
2
2
1
2
2
3
2
2
1
3
4
1
2
1
1
2
2
1
1
1
1
1
1
4
4
4
2
1
1
4
2
4
2
1
2
1
1
2
2
2
3
2
1
2
4
2
2
1
1
2
1
1
1
1
4
2
2
10
Fam
Inc
29.7
33.2
32.4
29.6
44.5
26.0
20.8
44.1
29.0
48.8
59.4
39.8
51.6
60.3
47.6
19.5
85.9
90.5
31.4
66.7
94.2
24.6
31.4
53.3
42.8
23.3
20.9
20.4
30.1
27.1
45.3
38.5
39.4
31.2
18.2
30.4
88.0
71.0
70.1
51.4
59.9
31.3
98.3
66.1
67.6
61.2
22.5
22.7
32.0
42.7
21.3
34.6
51.7
46.9
70.8
54.4
47.5
46.5
40.0
49.3
37.5
18.7
22.0
22.7
14.5
22.5
23.3
51.2
50.6
76.4
11
Job
Sat
1
4
2
1
2
1
1
2
1
2
1
1
1
2
1
1
1
1
2
1
1
2
2
1
2
1
2
1
2
1
1
1
2
1
1
1
2
1
2
1
1
1
1
2
4
1
3
1
1
2
1
1
2
2
2
1
2
1
1
2
1
2
2
1
2
1
2
2
1
4
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
5
1
0
17
0
3
1
1
20
2
5
1
0
4
0
1
1
0
11
3
5
1
0
21
0
5
1
0
1
0
4
2
0
1.5
1
5
3
1
0.58
1
5
1
0
8
3
1
2
1
7
4
5
1
0
3.5
1
2
1
0
18
2
3
2
0
5
0
5
1
0
21
4
1
1
0
17
2
5
1
2
4
1
5
2
0
24
4
1
3
0
6
4
5
1
0
7
1
5
1
0
5
0
1
1
1
34
0
2
3
1
13
2
5
1
0
7
1
5
2
0
4
0
5
1
0
27
2
5
1
0
26
0
5
3
0
3
0
5
1
0
2
0
1
1
0
15
2
4
1
0
1.5
0
5
1
0
1
3
5
1
1
10
1
5
2
0
11
1
5
1
0
5
0
5
1
0
13
1
3
2
0
23
3
3
1
0
11
0
5
1
0
25
1
5
1
0
11
0
4
1
0
18
0
5
1
0
1.5
1
1
2
0
1
0
5
2
0
32
0
5
2
0
23
1
5
1
0
3
0
3
1
0
20
4
5
1
0
8
2
5
1
2
6
1
5
2
0
17
0
5
1
0
12
0
5
1
0
23
0
5
1
0
27
0
4
1
1
18
1
5
1
0
14
0
1
1
0
17
0
5
1
0
2.5
0
5
2
0
10
0
5
2
0
22
0
5
1
0
7
0
5
1
0
1
0
5
1
1
11.25
0
5
1
0
29.25
0
4
1
0
5
1
4
1
0
10
1
4
1
0
3
0
5
1
0
19.16
0
5
3
0
3.41
2
5
1
0
10
0
5
1
0
2
0
5
1
4
11
0
Page A8
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
348
4
41.1
4
14
1
349
11
26.5
15
10
1
350
3
32.5
25
12
0
351
2
31.8
44
12
1
352
2
56.9
25
12
1
353
4
23.7
10
13
1
354
1
36.6
9
16
0
355
4
61.9
16
12
0
356
4
28.7
20
14
0
357
4
20.8
10
12
0
358
11
58.4
18
16
1
359
3
25.0
6
12
0
360
3
34.2
30
12
0
361
0
27.5
27
16
1
362
4
24.9
27
12
1
363
0
29.9
14
16
0
364
1
38.0
26
18
1
365
11
31.9
32
17
1
366
1
51.1
45
20
1
367
2
41.2
16
12
1
368
11
26.4
16
12
0
369
2
32.0
4
12
0
370
11
40.2
46
10
1
371
2
22.6
18
14
1
372
2
25.2
10
12
1
373
2
25.8
27
14
1
374
2
31.3
24
11
1
375
4
27.6
8
12
1
376
1
39.7
7
17
0
377
0
48.5
6
12
1
378
0
45.7
17
12
0
379
2
25.3
4
12
0
380
2
43.9
28
12
1
381
1
33.9
28
19
0
382
4
25.4
6
12
0
383
4
32.6
32
10
1
384
4
41.4
24
11
1
385
3
29.3
18
12
1
386
4
21.8
25
12
0
387
1
33.6
16
16
0
388
4
23.3
16
12
1
389
4
20.1
13
12
0
390
3
31.9
21
12
0
391
9
28.7
20
14
0
392
4
58.4
15
14
1
393
11
32.5
24
13
1
394
11
38.9
10
14
0
395
2
62.8
15
12
1
396
1
27.9
10
19
0
397
2
51.1
26
12
1
398
0
24.5
2
13
1
399
4
46.3
16
12
1
400
3
25.5
34
12
0
401
9
35.7
25
14
0
402
8
35.2
15
12
0
403
5
88.3
14
20
1
404
5
50.5
12
15
1
405
12
30.2
3
14
1
406
12
45.7
40
14
1
407
10
30.0
10
14
0
408
7
28.0
10
13
0
409
6
70.8
15
18
1
410
5
48.4
15
16
1
411
6
41.0
13
12
0
412
7
86.6
30
13
1
413
12
43.3
12
12
0
414
8
25.8
20
14
0
415
9
37.5
31
4
1
416
10
64.2
23
16
1
417
12
42.0
20
12
0
7
AGE
27
32
61
51
42
30
24
33
39
37
39
23
55
43
43
50
43
49
63
33
35
21
63
36
28
43
44
25
27
22
33
25
47
44
26
47
41
35
41
32
34
31
31
39
32
44
29
35
28
42
22
35
56
64
33
35
33
23
60
37
25
39
35
35
49
34
50
49
39
61
8
Work
HRS
50
80
40
60
50
40
56
48
40
40
35
44
50
55
56
38
56
50
50
84
40
40
42
50
70
40
34
63
50
65
36
48
40
40
40
40
65
40
40
40
40
40
47
40
80
50
37
60
40
45
40
40
40
30
50
50
40
40
40
40
40
50
30
32
55
40
40
40
40
40
9
No
EARN
1
2
1
2
2
1
2
2
2
2
2
2
2
3
2
3
2
1
2
1
2
2
1
2
1
1
1
2
2
2
1
1
2
2
2
2
3
2
4
2
1
2
3
2
2
3
2
1
1
2
3
2
2
2
1
2
2
1
1
1
3
1
1
1
2
2
1
1
2
1
10
Fam
Inc
31.1
36.3
22.5
35.1
50.9
14.6
39.2
58.3
38.3
24.1
61.8
37.3
27.9
55.7
18.0
54.1
36.7
21.9
60.7
31.2
46.8
35.6
29.0
19.8
15.2
15.9
21.3
30.8
61.6
41.4
35.7
15.3
41.1
42.0
39.9
47.5
48.8
45.0
28.2
43.9
14.5
59.7
40.2
38.3
67.9
26.1
72.6
52.8
17.9
44.6
31.1
43.1
44.5
81.9
25.2
85.3
85.6
20.2
35.7
15.0
49.5
60.8
38.4
33.5
93.5
55.2
17.4
27.6
67.2
34.6
11
Job
Sat
2
1
1
3
1
2
2
2
2
3
1
3
2
2
2
1
3
2
1
1
2
2
2
2
1
2
2
1
1
1
1
2
2
1
2
1
2
2
2
1
2
2
1
2
1
1
1
3
1
2
2
2
2
1
1
2
2
1
1
2
2
2
2
1
3
2
3
2
1
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
5
3
0
3
0
2
1
0
1.5
0
5
3
0
17
1
5
1
0
8
0
5
2
0
14
0
5
3
0
8
0
4
1
1
2
0
5
3
0
14
1
1
1
0
20
2
1
2
0
2.66
0
5
2
0
9
0
2
1
0
2.5
0
1
2
0
30
3
3
1
0
5
2
5
1
0
0.25
0
5
1
0
1
0
1
1
0
5.5
0
4
1
3
1.5
0
5
2
1
25
2
1
2
0
13.91
3
2
2
0
10
0
1
2
0
1.25
3
4
1
0
9.41
7
2
2
0
9.66
5
1
2
0
9.66
2
5
3
0
18.16
7
4
2
0
4
0
1
1
0
4
1
5
1
3
1
0
5
1
2
1
1
5
1
0
11
0
4
1
1
2
0
1
1
0
19
1
5
1
0
3.58
0
1
1
0
5
1
5
1
0
10
1
1
3
0
5
1
1
1
0
8
0
4
1
0
16
0
4
1
0
3
0
1
2
0
13
0
1
1
0
2.5
0
1
1
0
10
0
1
1
0
20
2
5
1
0
6
2
5
2
0
24
0
5
1
0
2
0
1
3
0
3
2
5
1
0
2
1
5
3
0
19.25
0
2
1
0
1.25
1
4
3
0
16
4
5
1
0
21
0
3
2
0
11
0
1
2
0
4
3
4
1
0
3
0
3
1
0
9
2
1
1
0
1.5
0
1
1
0
20
0
1
2
0
1.5
0
5
3
1
1.5
0
5
1
0
5
0
1
2
0
3
2
1
1
0
1.5
0
1
1
0
5
0
1
1
0
6
1
1
1
0
10
0
3
2
1
22.08
0
5
1
0
0.5
0
1
1
0
0.75
0
Page A9
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
418
5
36.6
43
16
1
419
8
43.1
7
16
1
420
9
20.5
3
11
1
421
8
34.3
7
12
0
422
7
43.3
17
10
1
423
12
43.8
14
16
1
424
12
45.7
20
13
0
425
8
46.1
36
16
0
426
6
33.7
25
16
0
427
10
66.4
27
13
1
428
7
52.7
18
15
1
429
8
24.7
15
16
1
430
5
41.3
18
12
0
431
8
34.1
33
14
0
432
12
40.3
15
12
0
433
10
55.2
24
13
1
434
6
27.9
9
16
0
435
12
30.4
11
17
0
436
7
36.3
23
13
1
437
6
31.6
12
16
0
438
5
58.7
19
19
1
439
12
28.4
23
15
1
440
8
25.4
16
12
1
441
5
63.7
42
14
1
442
6
27.0
7
16
0
443
9
21.5
1
12
1
444
6
27.7
14
16
0
445
12
21.8
18
9
0
446
5
85.6
23
18
1
447
6
37.6
9
18
1
448
5
42.8
22
17
0
449
10
26.6
3
14
0
450
3
46.1
36
16
0
451
5
60.1
20
17
0
452
6
46.3
7
19
1
453
5
40.3
16
18
1
454
10
51.5
12
12
1
455
6
39.8
23
17
0
456
5
42.2
2
16
1
457
12
50.2
14
16
0
458
8
32.5
10
12
1
459
5
30.1
18
17
1
460
10
31.6
4
9
0
461
5
60.6
36
16
1
462
5
32.5
23
13
0
463
7
66.7
27
14
1
464
5
25.5
5
11
0
465
7
27.0
13
10
0
466
9
26.5
27
12
1
467
5
53.3
18
15
1
468
12
32.0
8
16
1
469
9
20.2
34
9
1
470
6
51.3
13
16
1
471
9
64.2
26
12
1
472
6
29.8
12
14
0
473
7
60.0
32
12
1
474
8
29.3
10
13
0
475
5
26.0
6
16
0
476
8
28.1
4
14
0
477
8
31.7
15
12
0
478
5
33.6
11
16
1
479
7
49.0
30
12
1
480
9
40.9
37
14
1
481
7
42.3
11
13
1
482
8
27.9
17
14
1
483
6
49.8
42
15
1
484
6
47.2
19
16
0
485
6
64.6
30
16
1
486
7
28.8
24
14
0
487
9
49.6
8
17
1
7
AGE
59
25
20
24
33
30
37
56
42
43
35
35
34
50
34
41
44
27
40
33
38
41
32
58
28
18
33
34
39
31
48
21
56
29
33
36
28
40
25
39
27
40
27
53
39
47
27
40
27
35
25
53
35
43
33
48
26
23
30
53
29
53
43
30
27
59
36
52
40
29
8
Work
HRS
40
40
50
49
30
55
64
40
40
50
40
40
48
42
50
45
40
40
40
32
50
89
40
48
40
45
40
38
40
40
40
40
40
40
45
32
62
40
40
40
40
40
40
50
46
72
40
40
30
50
40
35
40
48
40
40
40
40
48
40
55
40
40
40
40
35
40
40
50
59
9
No
EARN
1
1
2
2
2
1
1
1
3
4
2
2
2
3
4
2
3
2
3
2
2
1
1
2
1
5
1
3
1
1
1
2
1
1
1
2
2
1
2
1
3
2
3
3
2
1
2
2
1
1
3
1
1
2
3
3
1
1
2
1
1
2
1
2
2
2
1
2
2
2
10
Fam
Inc
35.4
33.1
14.3
27.4
42.8
33.8
35.7
36.9
51.2
91.8
51.8
46.9
67.7
69.6
34.2
18.5
34.2
36.2
29.9
46.6
68.0
19.2
15.4
56.5
20.0
55.5
19.3
43.7
91.8
29.4
33.5
60.7
36.9
50.1
37.4
71.3
47.1
44.1
43.2
45.2
32.5
35.1
48.9
75.1
50.3
59.5
30.4
19.3
17.0
43.3
52.3
15.6
41.3
67.9
62.5
54.1
19.6
16.9
41.8
35.7
34.8
43.9
30.9
39.3
46.5
69.0
38.8
56.7
57.4
46.6
11
Job
Sat
2
4
1
3
3
1
1
1
1
1
1
2
1
2
2
2
1
2
1
1
1
3
1
2
1
3
1
2
1
2
2
2
1
1
2
4
1
4
1
2
1
2
2
2
1
1
4
2
2
1
1
1
2
1
2
2
2
1
2
2
2
2
1
2
2
1
2
4
1
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
5
1
1
1.5
1
5
3
0
1
1
1
1
0
1
3
4
2
0
5
1
5
1
0
5
0
5
1
0
5
1
5
1
1
3
0
1
1
0
30
3
1
1
1
5.5
0
4
1
0
12
2
5
1
0
0.5
0
5
2
3
0.75
2
3
1
0
3
0
5
1
0
3.5
1
3
3
1
8
2
1
1
0
2
0
1
3
0
5.5
0
5
1
0
7
0
1
1
0
10
1
5
3
0
2.58
0
4
1
0
15
4
1
1
0
1
0
1
2
0
0.16
0
4
3
0
36
4
5
1
0
12.33
1
1
1
0
1
0
5
2
0
3
0
1
1
0
1.5
1
5
2
1
3
0
5
1
0
4
0
5
1
0
6
2
5
1
0
0.66
0
1
1
0
30
3
5
1
0
16
0
5
1
0
4
1
5
2
0
4.08
1
4
2
0
5
3
5
3
0
4.5
0
4
1
0
2
0
5
1
0
2
1
5
1
0
5
0
1
1
0
11.83
4
5
1
0
4
0
1
3
0
10
0
5
1
0
1
0
1
1
0
5
0
2
2
1
2
2
5
3
0
4
0
5
1
2
0.5
0
1
1
1
10
0
5
1
0
2.5
0
5
1
1
5
0
5
1
0
6.41
3
1
1
0
11
2
1
1
1
2
1
4
3
2
21
4
3
1
0
4
5
2
1
0
0.75
0
1
2
1
1
1
5
2
0
12.5
1
5
1
0
1
1
5
1
0
0.08
0
5
3
0
2
0
5
1
0
10
2
5
1
2
0.5
0
5
1
0
6
0
4
2
0
12.5
1
5
1
0
21
1
5
3
0
1.5
1
1
2
0
2.83
0
Page A10
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
488
12
88.0
23
14
1
489
5
35.2
20
12
0
490
6
74.5
21
20
1
491
5
38.6
21
13
0
492
5
71.7
25
16
0
493
5
45.1
12
16
0
494
8
30.6
20
14
0
495
12
23.7
15
12
0
496
12
50.8
35
12
1
497
7
49.2
8
15
1
498
8
29.7
27
12
0
499
8
37.1
21
13
0
500
3
28.1
4
14
0
501
8
27.8
20
12
0
502
10
38.4
17
14
1
503
10
31.1
8
14
1
504
7
25.0
14
12
1
505
6
39.2
18
18
1
506
12
33.0
15
16
1
507
7
30.0
8
10
1
508
8
33.1
25
16
0
509
8
36.8
18
13
1
510
8
29.3
8
12
0
511
12
20.3
6
16
1
512
8
26.7
20
12
0
513
8
25.9
9
12
0
514
8
35.8
45
12
0
515
8
33.9
10
13
1
516
9
28.9
16
14
1
517
7
46.3
10
12
1
518
6
68.0
34
20
0
519
10
40.7
25
15
0
520
6
61.8
27
17
1
521
10
32.1
7
15
1
522
10
42.5
24
12
1
523
5
34.8
14
16
0
524
8
25.6
24
14
0
525
5
38.5
17
12
0
526
8
30.0
15
12
0
527
10
37.1
8
12
1
528
9
47.3
10
14
1
529
9
26.7
20
12
0
530
10
61.8
49
12
1
531
12
32.7
15
14
0
532
7
52.5
27
8
1
533
6
54.4
28
19
1
534
8
60.5
20
16
1
535
12
91.7
36
16
1
536
12
65.3
20
16
1
537
8
26.2
10
12
0
538
5
52.6
12
16
1
539
7
52.3
16
12
1
540
8
44.6
10
16
0
541
9
32.5
6
12
1
542
5
57.1
45
11
1
543
10
49.1
24
13
1
544
9
24.9
9
15
1
545
12
26.0
19
18
0
546
12
43.1
19
16
1
547
5
31.2
20
12
0
548
7
31.7
15
11
1
549
12
35.1
30
10
0
550
3
25.6
24
14
0
551
6
37.0
15
19
0
552
12
26.1
3
10
1
553
7
40.4
14
12
1
554
6
38.6
6
17
1
555
12
35.2
9
14
1
556
12
40.6
15
17
1
557
7
40.9
33
12
1
7
AGE
40
36
38
64
43
28
52
48
52
29
43
39
30
40
34
25
32
39
32
25
42
37
28
23
37
35
63
29
33
26
50
49
44
25
41
44
42
36
42
26
27
48
65
33
44
48
37
52
38
35
34
34
27
23
62
41
26
36
37
39
33
61
42
47
20
31
28
22
36
51
8
Work
HRS
40
45
45
43
55
46
40
30
40
50
40
36
48
45
48
50
42
32
40
40
36
40
50
60
40
43
35
41
50
44
40
40
35
31
40
40
37
60
40
40
65
40
40
40
40
55
50
70
60
40
43
52
40
46
50
76
38
42
40
40
40
40
37
41
54
60
50
40
40
67
9
No
EARN
2
1
1
1
2
1
1
2
2
1
2
3
2
1
2
1
1
3
1
1
1
4
1
3
2
1
1
2
2
1
2
3
3
2
1
3
1
3
2
1
2
3
4
2
1
4
2
1
2
2
1
1
2
2
1
2
2
2
4
1
1
1
1
1
2
1
2
1
1
3
10
Fam
Inc
92.9
25.9
65.7
35.2
78.8
38.3
47.3
36.1
96.2
63.6
57.8
31.2
41.8
17.8
33.4
29.9
15.0
62.6
23.5
20.0
34.2
34.0
19.3
38.4
26.5
15.9
38.7
43.0
22.4
36.3
98.7
50.8
61.6
39.8
23.4
48.2
16.4
59.0
23.0
38.2
39.7
46.8
68.0
83.3
49.2
66.8
59.2
81.7
59.0
43.4
42.6
42.3
69.3
25.3
47.1
46.1
39.1
71.2
51.2
21.2
39.2
25.5
16.4
36.3
22.5
32.4
31.1
25.2
30.6
47.4
11
Job
Sat
1
3
1
1
1
2
2
1
3
1
1
2
2
1
1
2
3
1
2
3
4
3
2
2
2
1
1
2
2
2
2
2
2
1
1
1
4
4
1
1
2
2
1
2
2
2
2
1
1
2
1
2
1
2
1
1
1
4
2
2
2
1
4
4
2
2
2
2
1
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
5
1
0
4.33
0
1
1
0
10
1
5
3
0
4
2
4
1
0
7
1
5
1
0
18
2
5
1
0
0.16
0
5
1
0
3
1
5
1
0
1.66
0
5
1
1
0.08
0
4
2
0
1
0
5
1
0
9.41
1
5
1
0
16
0
1
2
1
1
1
1
1
0
0.5
0
5
1
0
10
2
2
1
0
3
0
4
3
0
1
0
3
2
0
2
0
1
1
0
3
3
4
3
0
2
3
5
2
0
12
1
4
1
0
16
0
1
1
0
3
0
1
3
0
1
1
1
1
0
10
0
5
1
0
1.5
1
2
3
0
22
1
4
3
0
3
2
5
2
1
1
0
1
1
0
2.5
0
3
3
0
8
0
5
1
0
3.41
0
5
3
0
22
0
2
1
0
1
1
1
1
0
10.5
1
1
1
0
5
3
1
2
0
2
0
1
1
0
9.5
1
2
3
0
7.08
0
1
3
0
1
0
1
1
1
2
0
5
1
0
9
0
4
1
1
12.41
2
3
3
0
3.75
0
4
3
0
11
1
4
3
0
5.66
0
5
1
0
8.5
2
5
1
0
1
0
5
1
0
2.66
0
1
1
0
2.5
3
5
3
0
5.5
1
5
1
0
13
2
5
1
0
5
4
5
1
1
1.41
0
1
2
0
52.25
4
5
1
0
27.16
4
5
1
5
0.5
1
5
1
1
1
0
5
1
2
19
4
5
1
0
10
0
5
1
0
1
2
5
2
0
13
3
1
2
0
2
0
1
1
0
1
0
4
2
0
3
0
5
2
0
12.5
3
5
1
0
4.58
2
5
2
0
1
0
5
1
0
7
3
4
3
1
32.33
0
Page A11
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
558
9
45.1
31
12
1
559
9
23.9
10
14
0
560
10
27.1
20
10
0
561
8
32.7
13
15
0
562
9
36.7
19
16
1
563
8
30.0
25
13
0
564
10
32.7
21
14
1
565
10
48.2
23
12
1
566
8
29.7
15
12
0
567
9
55.3
14
12
1
568
9
44.0
12
12
1
569
6
67.8
22
20
1
570
5
43.3
20
20
0
571
9
55.3
30
16
1
572
12
48.1
32
14
1
573
5
24.7
7
16
1
574
12
34.7
27
13
0
575
12
23.6
5
13
0
576
8
30.5
20
12
0
577
6
45.5
13
12
1
578
6
58.6
15
20
1
579
7
54.8
18
13
1
580
6
50.1
25
15
1
581
6
61.4
29
18
1
582
6
39.9
38
18
1
583
9
33.7
40
8
1
584
6
36.4
40
10
1
585
7
40.8
25
13
1
586
12
55.7
15
16
1
587
8
28.9
12
12
0
588
6
47.9
30
18
0
589
5
57.7
15
12
1
590
12
49.0
27
16
1
591
5
42.4
11
20
1
592
9
41.2
21
14
1
593
5
36.7
26
12
0
594
9
26.4
13
12
1
595
9
36.1
13
10
1
596
10
69.3
30
16
1
597
5
52.3
18
16
1
598
8
23.2
22
12
0
599
8
48.7
8
12
0
600
3
37.3
20
12
0
601
10
43.7
24
14
0
602
12
36.9
11
16
1
603
5
33.0
16
12
0
604
12
27.3
16
14
0
605
12
48.3
24
12
1
606
5
69.3
18
12
1
607
8
26.3
24
12
1
608
12
44.4
13
14
1
609
9
41.4
41
8
1
610
6
63.8
38
18
1
611
7
36.4
54
12
1
612
8
24.4
6
16
0
613
8
23.4
26
12
0
614
12
33.1
12
16
1
615
9
22.0
19
14
1
616
7
32.8
7
12
1
617
5
40.7
22
16
1
618
8
25.3
17
13
0
619
6
37.9
20
16
0
620
8
25.5
21
14
0
621
8
37.3
20
12
0
622
8
55.8
24
12
1
623
9
39.5
21
15
1
624
6
30.4
4
16
0
625
6
47.7
24
20
0
626
12
33.4
11
14
0
627
9
35.9
11
12
1
7
AGE
48
30
40
29
35
61
38
40
32
32
33
39
58
47
50
24
44
30
55
30
31
37
41
46
57
61
58
49
32
29
47
32
44
34
38
42
30
29
47
40
38
32
38
43
37
32
31
44
39
41
30
58
55
60
29
42
41
35
24
39
38
37
47
38
41
38
26
41
31
29
8
Work
HRS
44
37
40
42
48
40
38
40
40
52
40
60
45
52
40
50
50
40
40
40
60
60
50
55
49
32
40
40
40
32
40
60
40
55
60
60
42
40
50
70
40
40
40
40
40
55
40
89
50
72
40
65
75
68
40
40
38
48
50
45
35
35
60
40
45
60
45
35
40
45
9
No
EARN
2
2
2
2
2
1
3
2
2
1
2
2
2
1
2
2
4
2
1
1
2
1
3
2
3
2
1
2
1
2
1
2
2
1
2
3
1
2
4
1
2
1
4
2
1
2
2
2
2
1
2
3
2
1
3
1
1
2
2
1
1
1
3
4
1
2
1
2
2
2
10
Fam
Inc
63.2
43.4
15.0
43.1
46.6
20.0
49.5
66.2
38.9
45.3
46.4
78.6
35.5
46.0
50.5
25.3
56.6
21.9
20.5
35.5
51.2
45.5
45.1
90.4
34.6
26.6
26.4
58.7
45.7
21.9
37.9
69.7
69.6
32.4
50.0
38.2
17.3
28.6
89.2
42.3
16.7
38.7
72.6
21.3
26.9
32.2
27.6
46.1
74.0
16.3
38.3
42.3
74.3
35.4
28.3
29.7
26.9
15.8
34.5
34.1
15.3
35.2
68.7
72.6
49.4
49.7
53.9
61.6
45.6
33.5
11
Job
Sat
2
2
1
2
2
1
2
1
2
1
3
1
1
2
3
2
1
4
2
1
1
2
2
1
2
2
1
4
2
1
3
2
1
1
2
2
3
2
1
1
2
2
1
1
1
2
1
1
1
1
2
2
3
1
3
1
2
2
2
3
1
2
4
1
1
1
2
1
1
2
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
2
3
0
24.75
2
5
1
0
4
0
1
1
0
17
0
2
3
0
4.33
0
1
1
0
12
1
1
2
0
18.33
0
2
1
0
2.66
2
2
1
0
3
1
5
1
1
11.58
3
5
1
0
13
3
5
1
1
11
0
5
1
0
17
2
4
2
0
12
0
5
3
0
8
0
5
2
0
22.5
2
5
2
0
1
0
1
1
0
10
0
5
2
0
2
0
1
2
0
15
2
1
1
0
1.5
0
5
1
0
3
1
5
2
0
3
0
4
1
0
6
2
5
2
0
7
4
5
1
0
34
0
5
1
1
40
0
1
2
0
3.91
0
5
2
0
6
0
5
1
0
7
1
5
1
0
3
1
3
1
0
2
0
1
1
0
12
5
4
1
0
22
4
5
1
0
4
1
5
1
0
15
2
5
1
2
22
3
5
2
1
1.5
0
2
3
0
0.25
0
5
1
0
23.58
3
5
1
0
2
0
5
1
1
1
0
1
1
0
6
0
4
1
0
10.5
4
1
2
0
22.25
1
5
1
0
5
2
5
1
0
11
1
1
1
0
10
2
4
1
0
0.66
0
5
2
0
11
2
5
3
1
18
0
1
1
0
11
3
2
1
0
3
0
4
3
4
29
2
1
1
0
10
4
1
1
0
3
0
4
1
0
1.08
1
4
1
0
12
0
2
1
0
7
1
5
1
0
3
0
4
3
0
9
2
5
1
1
4
1
1
1
0
14
0
5
3
0
1
0
4
1
0
10.5
4
5
1
0
8
4
1
3
0
4
1
1
1
0
4
0
3
2
0
17
0
5
2
0
5.5
0
1
1
0
3
0
Page A12
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
628
7
36.8
20
12
1
629
5
51.2
11
15
1
630
12
36.0
8
16
1
631
10
45.2
42
11
1
632
9
23.1
20
12
1
633
8
29.3
16
9
1
634
9
21.1
4
12
0
635
10
28.7
20
9
0
636
8
72.8
19
12
0
637
5
35.2
22
16
0
638
6
31.1
10
13
1
639
12
46.6
25
17
1
640
6
39.3
11
12
1
641
9
29.3
30
8
1
642
6
42.2
14
18
0
643
7
53.6
22
15
1
644
6
38.1
20
16
0
645
10
25.3
13
14
0
646
12
35.0
16
17
0
647
7
25.3
34
13
1
648
10
42.6
14
14
1
649
8
27.8
10
15
0
650
3
24.2
20
17
0
651
5
35.9
19
14
0
652
8
25.0
11
12
0
653
9
40.3
25
13
1
654
8
62.7
31
14
1
655
5
55.7
17
16
1
656
6
38.6
14
20
0
657
5
26.2
20
16
1
658
5
54.7
45
15
1
659
7
28.1
5
12
0
660
5
65.0
45
14
1
661
12
37.5
17
12
1
662
9
35.2
16
11
1
663
9
31.4
22
12
1
664
6
35.5
21
16
0
665
9
26.1
33
10
1
666
7
41.9
34
16
1
667
5
60.4
35
14
1
668
7
26.2
13
13
1
669
8
50.7
24
18
0
670
5
64.9
20
16
1
671
6
28.1
24
18
0
672
6
60.9
14
12
1
673
7
36.1
22
14
1
674
8
24.2
20
17
0
675
5
37.6
28
12
0
676
5
33.9
26
19
0
677
12
68.0
48
12
1
678
6
37.0
23
13
0
679
9
43.0
35
8
1
680
8
27.1
15
13
0
681
7
36.6
20
12
1
682
8
26.8
27
12
0
683
6
36.0
10
18
0
684
12
30.8
9
14
1
685
5
31.3
28
12
1
686
6
33.4
9
16
0
687
5
51.2
16
14
1
688
10
35.8
19
12
0
689
7
49.2
20
14
1
690
12
61.6
12
16
1
691
5
38.1
25
13
0
692
9
37.5
29
12
1
693
10
34.0
16
14
0
694
5
49.6
30
13
0
695
5
40.2
6
16
0
696
8
33.2
37
13
0
697
7
61.2
37
14
1
7
AGE
38
33
25
62
42
33
21
50
36
41
27
42
28
46
32
40
39
30
33
56
30
27
38
36
32
44
48
39
31
39
62
21
62
34
35
41
45
54
51
52
29
44
40
41
31
40
38
43
41
64
40
52
41
38
69
26
26
45
26
33
38
36
36
45
45
34
51
38
58
54
8
Work
HRS
40
40
60
45
40
56
55
40
40
50
57
47
60
40
40
46
40
43
45
40
40
45
37
65
40
50
80
40
45
60
40
72
40
45
40
45
50
40
40
40
60
40
50
40
45
40
37
46
40
48
51
40
40
40
29
40
40
40
40
55
32
40
60
36
50
40
40
40
32
50
9
No
EARN
2
1
1
2
2
1
4
2
1
1
2
1
2
4
1
1
2
2
1
1
2
1
1
1
2
2
2
2
1
1
2
4
3
3
1
1
2
3
1
1
2
2
2
2
1
1
1
1
2
2
2
1
2
2
1
1
1
1
1
1
2
1
1
2
2
1
2
2
1
2
10
Fam
Inc
34.1
41.2
39.9
34.2
25.8
23.2
35.7
24.8
63.4
26.9
28.3
39.2
44.0
24.0
32.2
51.4
68.7
28.9
26.3
15.3
32.4
17.8
49.2
26.6
25.4
37.7
56.1
68.5
28.6
16.8
49.4
77.9
85.4
45.2
28.4
21.4
70.4
26.4
33.5
53.7
41.2
49.2
82.7
47.1
55.1
26.1
49.2
27.6
55.3
98.6
29.7
33.2
32.4
29.6
16.8
26.0
20.8
44.1
29.0
48.8
59.4
39.8
51.6
60.3
47.6
19.5
85.9
90.5
23.2
66.7
11
Job
Sat
2
2
2
2
1
1
1
2
1
1
2
1
3
2
1
1
2
1
2
1
2
1
2
1
2
2
4
2
2
1
1
1
1
1
2
1
2
1
2
1
1
3
3
1
1
2
2
2
2
1
1
4
2
1
1
1
1
2
1
2
1
1
1
2
1
1
1
1
2
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
5
2
0
7
0
5
3
0
10
0
4
1
0
3
0
5
1
0
23
0
1
1
0
12.83
0
4
1
0
4.5
0
5
1
0
2
0
1
1
0
10
0
4
1
0
2.16
0
5
1
0
2.33
0
5
1
0
0.33
1
2
2
2
5
0
5
1
0
5.5
5
1
1
1
2
0
5
1
0
5
0
5
1
0
18
6
3
1
1
5
1
5
3
3
0.25
1
5
1
0
1
0
5
1
0
1.83
0
5
2
0
6
0
5
3
0
2
0
5
1
0
5
0
5
3
0
6
0
3
1
0
10
0
1
1
1
15
0
1
3
0
9
1
4
3
0
16
1
5
2
0
1
0
1
1
2
3.25
0
2
1
0
27
2
1
1
0
1.08
0
1
1
0
1.91
2
4
2
0
2.08
1
1
3
0
13
0
1
1
0
0.25
0
1
1
0
20
3
2
2
0
33
2
5
3
0
6
1
2
2
0
31.91
3
1
3
0
5
1
1
2
0
22
0
5
1
0
6
1
5
1
0
0.25
0
1
1
0
0.66
0
5
2
0
15
1
5
1
0
5
0
5
3
0
14
1
5
1
0
4
0
5
1
1
29
3
5
1
0
17
0
3
1
1
20
2
5
1
0
4
0
1
1
0
11
3
5
1
0
25
3
5
1
0
1
0
4
2
0
1.5
1
5
3
1
0.58
1
5
1
0
8
3
1
2
1
7
4
5
1
0
3.5
1
2
1
0
18
2
3
2
0
5
0
5
1
0
21
4
1
1
0
17
2
5
1
2
4
1
5
2
0
24
4
1
3
0
6
4
5
2
1
5
0
5
1
0
5
0
Page A13
1
2
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
698
5
86.4
38
12
1
699
6
29.5
27
18
1
700
3
33.2
37
13
0
701
5
39.4
25
16
0
702
9
52.8
38
14
1
703
5
24.7
26
13
1
704
9
30.5
27
16
0
705
6
30.4
27
16
1
706
9
28.2
45
11
0
707
8
25.3
3
12
0
708
6
53.4
25
19
0
709
6
48.5
18
14
1
710
7
46.6
21
14
1
711
12
41.2
20
15
1
712
8
28.1
22
13
0
713
6
40.4
33
18
1
714
6
43.4
14
16
0
715
8
56.6
32
12
1
716
6
77.0
35
19
1
717
6
43.7
32
16
0
718
6
49.4
19
14
1
719
12
41.3
9
16
0
720
6
101.9
35
16
1
721
5
43.7
25
16
0
722
5
26.6
5
15
0
723
7
53.6
27
12
1
724
9
32.5
12
12
1
725
12
27.6
10
12
0
726
9
41.8
45
8
1
727
6
37.9
27
18
1
728
10
39.4
23
12
0
729
7
35.0
35
12
1
730
9
46.9
21
12
1
731
7
52.7
35
12
1
732
6
47.7
26
15
1
733
5
62.6
8
14
1
734
9
35.7
11
11
0
735
7
42.5
42
12
1
736
9
31.6
12
16
0
737
7
57.2
16
14
1
738
12
46.9
23
12
1
739
12
27.4
34
12
0
740
9
24.7
8
12
0
741
6
32.7
12
16
0
742
7
23.2
10
14
1
743
7
32.5
35
11
0
744
9
33.3
22
12
1
745
6
35.4
19
18
0
746
12
27.8
17
16
1
747
12
48.4
24
12
0
748
9
41.1
4
14
1
749
12
26.5
15
10
1
750
3
20.3
20
13
0
751
7
31.8
44
12
1
752
7
56.9
25
12
1
753
9
23.7
10
13
1
754
6
36.6
9
16
0
755
9
61.9
16
12
0
756
8
32.5
25
12
0
757
9
20.8
10
12
0
758
12
58.4
18
16
1
759
8
25.0
6
12
0
760
8
34.2
30
12
0
761
5
27.5
27
16
1
762
9
24.9
27
12
1
763
5
29.9
14
16
0
764
6
38.0
26
18
1
765
12
31.9
32
17
1
766
6
51.1
45
20
1
767
7
41.2
16
12
1
7
AGE
57
43
58
45
54
43
48
44
57
20
49
39
41
37
65
50
57
48
53
52
38
33
63
51
43
44
30
42
62
38
54
52
38
55
43
25
36
53
28
32
40
57
27
38
28
52
39
36
38
41
27
32
57
51
42
30
24
33
61
37
39
23
55
43
43
50
43
49
63
33
8
Work
HRS
32
54
32
40
50
40
35
40
40
40
28
40
40
40
40
40
34
40
50
60
52
40
45
40
38
40
50
40
40
60
40
40
48
44
60
73
48
40
60
40
60
42
32
40
75
50
50
60
60
40
50
80
32
60
50
40
56
48
40
40
35
44
50
55
56
38
56
50
50
84
9
No
EARN
2
1
1
4
1
2
1
1
2
2
1
1
1
1
1
1
4
4
4
2
1
1
4
2
4
2
1
2
1
1
2
2
2
3
2
1
2
4
2
2
1
1
2
1
1
1
1
4
2
2
1
2
2
2
2
1
2
2
1
2
2
2
2
3
2
3
2
1
2
1
10
Fam
Inc
94.2
24.6
23.2
53.3
42.8
23.3
20.9
20.4
30.1
27.1
45.3
38.5
39.4
31.2
18.2
30.4
88.0
71.0
70.1
51.4
59.9
31.3
98.3
66.1
67.6
61.2
22.5
22.7
32.0
42.7
21.3
34.6
51.7
46.9
70.8
54.4
47.5
46.5
40.0
49.3
37.5
18.7
22.0
22.7
14.5
22.5
23.3
51.2
50.6
76.4
31.1
36.3
42.5
35.1
50.9
14.6
39.2
58.3
22.5
24.1
61.8
37.3
27.9
55.7
18.0
54.1
36.7
21.9
60.7
31.2
11
Job
Sat
1
2
2
1
2
1
2
1
2
1
1
1
2
1
1
1
2
1
2
1
1
1
1
2
4
1
3
1
1
2
1
1
2
2
2
1
2
1
1
2
1
2
2
1
2
1
2
2
1
4
2
1
2
3
1
2
2
2
1
3
1
3
2
2
2
1
3
2
1
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
1
1
1
34
0
2
3
1
13
2
5
2
1
5
0
5
2
0
4
0
5
1
0
27
2
5
1
0
26
0
5
3
0
3
0
5
1
0
2
0
1
1
0
15
2
4
1
0
1.5
0
5
1
0
1
3
5
1
1
10
1
5
2
0
11
1
5
1
0
5
0
5
1
0
13
1
3
2
0
23
3
3
1
0
11
0
5
1
0
25
1
5
1
0
11
0
4
1
0
18
0
5
1
0
1.5
1
1
2
0
1
0
5
2
0
32
0
5
2
0
23
1
5
1
0
3
0
3
1
0
20
4
5
1
0
8
2
5
1
2
6
1
5
2
0
17
0
5
1
0
12
0
5
1
0
23
0
5
1
0
27
0
4
1
1
18
1
5
1
0
14
0
1
1
0
17
0
5
1
0
2.5
0
5
2
0
10
0
5
2
0
22
0
5
1
0
7
0
5
1
0
1
0
5
1
1
11.25
0
5
1
0
29.25
0
4
1
0
5
1
4
1
0
10
1
4
1
0
3
0
5
1
0
19.16
0
5
3
0
3.41
2
5
1
0
10
0
5
1
0
2
0
5
1
4
11
0
5
3
0
3
0
2
1
0
1.5
0
1
2
1
3
0
5
1
0
8
0
5
2
0
14
0
5
3
0
8
0
4
1
1
2
0
5
3
0
14
1
5
3
0
17
1
1
2
0
2.66
0
5
2
0
9
0
2
1
0
2.5
0
1
2
0
30
3
3
1
0
5
2
5
1
0
0.25
0
5
1
0
1
0
1
1
0
5.5
0
4
1
3
1.5
0
5
2
1
25
2
1
2
0
13.91
3
Page A14
1
3
4
5
6
Resp
Years
ID_No OCCUP INCOME WORKed EDUCat GENDER
768
12
26.4
16
12
0
769
7
32.0
4
12
0
770
10
40.2
46
10
1
771
7
22.6
18
14
1
772
7
25.2
10
12
1
773
7
25.8
27
14
1
774
7
31.3
24
11
1
775
9
27.6
8
12
1
776
6
39.7
7
17
0
777
5
48.5
6
12
1
778
5
45.7
17
12
0
779
7
25.3
4
12
0
780
7
43.9
28
12
1
781
6
33.9
28
19
0
782
9
25.4
6
12
0
783
9
32.6
32
10
1
784
9
41.4
24
11
1
785
8
29.3
18
12
1
786
9
21.8
25
12
0
787
6
33.6
16
16
0
788
9
23.3
16
12
1
789
9
20.1
13
12
0
790
8
31.9
21
12
0
791
8
20.3
20
13
0
792
9
58.4
15
14
1
793
10
32.5
24
13
1
794
12
38.9
10
14
0
795
7
62.8
15
12
1
796
6
27.9
10
19
0
797
7
51.1
26
12
1
798
5
24.5
2
13
1
799
9
46.3
16
12
1
800
3
26.8
27
12
0
Total
Average
ID_No
2
32004.0
40.005
15974.0
19.968
11116.0
13.895
458.0
INCOME WORKed EDUCat GENDER
7
AGE
35
21
63
36
28
43
44
25
27
22
33
25
47
44
26
47
41
35
41
32
34
31
31
57
32
44
29
35
28
42
22
35
69
8
Work
HRS
40
40
42
50
70
40
34
63
50
65
36
48
40
40
40
40
65
40
40
40
40
40
47
32
80
50
37
60
40
45
40
40
29
9
No
EARN
2
2
1
2
1
1
1
2
2
2
1
1
2
2
2
2
3
2
4
2
1
2
3
2
2
3
2
1
1
2
3
2
1
10
Fam
Inc
46.8
35.6
29.0
19.8
15.2
15.9
21.3
30.8
61.6
41.4
35.7
15.3
41.1
42.0
39.9
47.5
48.8
45.0
28.2
43.9
14.5
59.7
40.2
42.5
67.9
26.1
72.6
52.8
17.9
44.6
31.1
43.1
16.8
11
Job
Sat
2
2
2
2
1
2
2
1
1
1
1
2
2
1
2
1
2
2
2
1
2
2
1
2
1
1
1
3
1
2
2
2
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
2
2
0
10
0
1
2
0
1.25
3
4
1
0
9.41
7
2
2
0
9.66
5
1
2
0
9.66
2
5
3
0
18.16
7
4
2
0
4
0
1
1
0
4
1
5
1
3
1
0
5
1
2
1
1
5
1
0
11
0
4
1
1
2
0
1
1
0
19
1
5
1
0
3.58
0
1
1
0
5
1
5
1
0
10
1
1
3
0
5
1
1
1
0
8
0
4
1
0
16
0
4
1
0
3
0
1
2
0
13
0
1
1
0
2.5
0
1
1
0
10
0
1
2
1
3
0
5
1
0
6
2
5
2
0
24
0
5
1
0
2
0
1
3
0
3
2
5
1
0
2
1
5
3
0
19.25
0
2
1
0
1.25
1
4
3
0
16
4
5
1
0
25
3
31528.0 36346.0 1448.0 33993.2 1352.0 2854.0 1200.0 180.0 6932.6
39.410 45.433 1.810 42.492 1.690 3.568 1.500 0.225 8.666
AGE
HRS
EARN
Inc
Sat
Char Ahead Events Years
760.0
0.950
Prom
Page A15
Employee Satisfaction Survey Results (SORTED by OCCUPATION)
1
2
3
4
5
6
Resp
Years
Count ID_No OCCUP INCOME WORKed EDUCat GENDER
1
3
0
88.3
14
20
1
2
4
0
50.5
12
15
1
3
10
0
48.4
15
16
1
4
18
0
36.6
43
16
1
5
30
0
41.3
18
12
0
6
38
0
58.7
19
19
1
7
41
0
63.7
42
14
1
8
46
0
85.6
23
18
1
9
48
0
42.8
22
17
0
10
51
0
60.1
20
17
0
11
53
0
40.3
16
18
1
12
56
0
42.2
2
16
1
13
59
0
30.1
18
17
1
14
61
0
60.6
36
16
1
15
62
0
32.5
23
13
0
16
64
0
25.5
5
11
0
17
67
0
53.3
18
15
1
18
74
0
54.7
13
16
0
19
75
0
26.0
6
16
0
20
78
0
33.6
11
16
1
21
89
0
35.2
20
12
0
22
91
0
38.6
21
13
0
23
92
0
71.7
25
16
0
24
93
0
45.1
12
16
0
25
123
0
34.8
14
16
0
26
125
0
38.5
17
12
0
27
138
0
52.6
12
16
1
28
142
0
57.1
45
11
1
29
147
0
31.2
20
12
0
30
170
0
43.3
20
20
0
31
173
0
24.7
7
16
1
32
189
0
57.7
15
12
1
33
191
0
42.4
11
20
1
34
193
0
36.7
26
12
0
35
197
0
52.3
18
16
1
36
203
0
33.0
16
12
0
37
206
0
69.3
18
12
1
38
217
0
40.7
22
16
1
39
229
0
51.2
11
15
1
40
237
0
35.2
22
16
0
41
251
0
35.9
19
14
0
42
255
0
55.7
17
16
1
43
257
0
26.2
20
16
1
44
258
0
54.7
45
15
1
45
260
0
65.0
45
14
1
46
267
0
60.4
35
14
1
47
270
0
64.9
20
16
1
48
275
0
37.6
28
12
0
49
276
0
33.9
26
19
0
50
285
0
31.3
28
12
1
51
287
0
51.2
16
14
1
52
291
0
38.1
25
13
0
53
294
0
49.6
30
13
0
54
295
0
40.2
6
16
0
55
298
0
86.4
38
12
1
56
301
0
39.4
25
16
0
57
303
0
24.7
26
13
1
58
321
0
43.7
25
16
0
59
322
0
26.6
5
15
0
60
333
0
62.6
8
14
1
61
361
0
27.5
27
16
1
62
363
0
29.9
14
16
0
63
377
0
48.5
6
12
1
64
378
0
45.7
17
12
0
65
398
0
24.5
2
13
1
66
9
1
70.8
15
18
1
67
11
1
41.0
13
12
0
7
AGE
35
33
35
59
34
38
58
39
48
29
36
25
40
53
39
27
35
26
23
29
36
64
43
28
44
36
34
62
39
58
24
32
34
42
40
32
39
39
33
41
36
39
39
62
62
52
40
43
41
45
33
45
51
38
57
45
43
51
43
25
43
50
22
33
22
39
35
8
Work
HRS
50
40
30
40
48
50
48
40
40
40
32
40
40
50
46
40
50
40
40
55
45
43
55
46
40
60
43
50
40
45
50
60
55
60
70
55
50
45
40
50
65
40
60
40
40
40
50
46
40
40
55
36
40
40
32
40
40
40
38
73
55
38
65
36
40
50
32
9
No
EARN
2
2
1
1
2
2
2
1
1
1
2
2
2
3
2
2
1
2
1
1
1
1
2
1
3
3
1
1
1
2
2
2
1
3
1
2
2
1
1
1
1
2
1
2
3
1
2
1
2
1
1
2
2
2
2
4
2
2
4
1
3
3
2
1
3
1
1
10
Fam
Inc
85.3
85.6
38.4
35.4
67.7
68.0
56.5
91.8
33.5
50.1
71.3
43.2
35.1
75.1
50.3
30.4
43.3
65.3
16.9
34.8
25.9
35.2
78.8
38.3
48.2
59.0
42.6
47.1
21.2
35.5
25.3
69.7
32.4
38.2
42.3
32.2
74.0
34.1
41.2
26.9
26.6
68.5
16.8
49.4
85.4
53.7
82.7
27.6
55.3
44.1
48.8
60.3
85.9
90.5
94.2
53.3
23.3
66.1
67.6
54.4
55.7
54.1
41.4
35.7
31.1
60.8
33.5
11
Job
Sat
2
2
2
2
1
1
2
1
2
1
4
1
2
2
1
4
1
1
1
2
3
1
1
2
1
4
1
1
2
1
2
2
1
2
1
2
1
3
2
1
1
2
1
1
1
1
3
2
2
2
2
2
1
1
1
1
1
2
4
1
2
1
1
1
2
2
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
4
1
0
3
0
3
1
0
9
2
1
2
0
3
2
5
1
1
1.5
1
3
1
0
3
0
4
1
0
15
4
4
3
0
36
4
5
2
1
3
0
5
1
0
6
2
5
1
0
16
0
5
2
0
4.08
1
4
1
0
2
0
1
1
0
11.83
4
1
3
0
10
0
5
1
0
1
0
2
2
1
2
2
1
1
1
10
0
4
1
0
3.5
1
2
1
0
0.75
0
5
1
0
1
1
1
1
0
10
1
4
1
0
7
1
5
1
0
18
2
5
1
0
0.16
0
1
1
0
5
3
1
1
0
9.5
1
5
3
0
5.5
1
1
2
0
52.25
4
5
1
0
10
0
4
2
0
12
0
5
2
0
1
0
1
1
0
12
5
5
1
0
4
1
5
1
2
22
3
5
1
0
2
0
5
1
0
11
1
5
2
0
11
2
4
3
0
9
2
5
3
0
10
0
5
1
0
2.33
0
5
3
0
6
0
4
3
0
16
1
1
1
2
3.25
0
2
1
0
27
2
1
1
0
1.91
2
2
2
0
31.91
3
5
1
0
6
1
5
3
0
14
1
5
1
0
4
0
5
3
1
0.58
1
1
2
1
7
4
5
1
0
21
4
5
2
0
24
4
1
3
0
6
4
1
1
1
34
0
5
2
0
4
0
5
1
0
26
0
5
2
0
23
1
5
1
0
3
0
5
1
0
2.5
0
3
1
0
5
2
5
1
0
1
0
5
1
2
1
1
5
1
0
11
0
2
1
0
1.25
1
5
1
0
5
0
1
1
0
1.5
0
Page A16
1
2
3
4
5
6
Resp
Years
Count ID_No OCCUP INCOME WORKed EDUCat GENDER
68
26
1
33.7
25
16
0
69
34
1
27.9
9
16
0
70
37
1
31.6
12
16
0
71
42
1
27.0
7
16
0
72
44
1
27.7
14
16
0
73
47
1
37.6
9
18
1
74
52
1
46.3
7
19
1
75
55
1
39.8
23
17
0
76
70
1
51.3
13
16
1
77
72
1
29.8
12
14
0
78
83
1
49.8
42
15
1
79
84
1
47.2
19
16
0
80
85
1
64.6
30
16
1
81
90
1
74.5
21
20
1
82
105
1
39.2
18
18
1
83
118
1
68.0
34
20
0
84
120
1
61.8
27
17
1
85
133
1
54.4
28
19
1
86
151
1
37.0
15
19
0
87
154
1
38.6
6
17
1
88
169
1
67.8
22
20
1
89
177
1
45.5
13
12
1
90
178
1
58.6
15
20
1
91
180
1
50.1
25
15
1
92
181
1
61.4
29
18
1
93
182
1
39.9
38
18
1
94
184
1
36.4
40
10
1
95
188
1
47.9
30
18
0
96
210
1
63.8
38
18
1
97
219
1
37.9
20
16
0
98
224
1
30.4
4
16
0
99
225
1
47.7
24
20
0
100
238
1
31.1
10
13
1
101
240
1
39.3
11
12
1
102
242
1
42.2
14
18
0
103
244
1
38.1
20
16
0
104
256
1
38.6
14
20
0
105
264
1
35.5
21
16
0
106
271
1
28.1
24
18
0
107
272
1
60.9
14
12
1
108
278
1
37.0
23
13
0
109
283
1
36.0
10
18
0
110
286
1
33.4
9
16
0
111
299
1
29.5
27
18
1
112
305
1
30.4
27
16
1
113
308
1
53.4
25
19
0
114
309
1
48.5
18
14
1
115
313
1
40.4
33
18
1
116
314
1
43.4
14
16
0
117
316
1
77.0
35
19
1
118
317
1
43.7
32
16
0
119
318
1
49.4
19
14
1
120
320
1
101.9
35
16
1
121
327
1
37.9
27
18
1
122
332
1
47.7
26
15
1
123
341
1
32.7
12
16
0
124
345
1
35.4
19
18
0
125
354
1
36.6
9
16
0
126
364
1
38.0
26
18
1
127
366
1
51.1
45
20
1
128
376
1
39.7
7
17
0
129
381
1
33.9
28
19
0
130
387
1
33.6
16
16
0
131
396
1
27.9
10
19
0
132
8
2
28.0
10
13
0
133
12
2
86.6
30
13
1
134
22
2
43.3
17
10
1
135
28
2
52.7
18
15
1
136
36
2
36.3
23
13
1
137
63
2
66.7
27
14
1
7
AGE
42
44
33
28
33
31
33
40
35
33
59
36
52
38
39
50
44
48
47
28
39
30
31
41
46
57
58
47
55
37
26
41
27
28
32
39
31
45
41
31
40
26
26
43
44
49
39
50
57
53
52
38
63
38
43
38
36
24
43
63
27
44
32
28
25
49
33
35
40
47
8
Work
HRS
40
40
32
40
40
40
45
40
40
40
35
40
40
45
32
40
35
55
41
50
60
40
60
50
55
49
40
40
75
35
45
35
57
60
40
40
45
50
40
45
51
40
40
54
40
28
40
40
34
50
60
52
45
60
60
40
60
56
56
50
50
40
40
40
40
55
30
40
40
72
9
No
EARN
3
3
2
1
1
1
1
1
1
3
2
1
2
1
3
2
3
4
1
2
2
1
2
3
2
3
1
1
2
1
1
2
2
2
1
2
1
2
2
1
2
1
1
1
1
1
1
1
4
4
2
1
4
1
2
1
4
2
2
2
2
2
2
1
3
2
2
2
3
1
10
Fam
Inc
51.2
34.2
46.6
20.0
19.3
29.4
37.4
44.1
41.3
62.5
69.0
38.8
56.7
65.7
62.6
98.7
61.6
66.8
36.3
31.1
78.6
35.5
51.2
45.1
90.4
34.6
26.4
37.9
74.3
35.2
53.9
61.6
28.3
44.0
32.2
68.7
28.6
70.4
47.1
55.1
29.7
26.0
29.0
24.6
20.4
45.3
38.5
30.4
88.0
70.1
51.4
59.9
98.3
42.7
70.8
22.7
51.2
39.2
36.7
60.7
61.6
42.0
43.9
17.9
49.5
93.5
42.8
51.8
29.9
59.5
11
Job
Sat
1
1
1
1
1
2
2
4
2
2
1
2
4
1
1
2
2
2
4
2
1
1
1
2
1
2
1
3
3
2
2
1
2
3
1
2
2
2
1
1
1
1
1
2
1
1
1
1
2
2
1
1
1
2
2
1
2
2
3
1
1
1
1
1
2
3
3
1
1
1
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
1
1
1
5.5
0
1
3
0
5.5
0
5
3
0
2.58
0
5
1
0
12.33
1
5
2
0
3
0
5
1
0
4
0
5
1
0
4
1
5
3
0
4.5
0
5
1
0
6.41
3
1
1
1
2
1
5
1
0
6
0
4
2
0
12.5
1
5
1
0
21
1
5
3
0
4
2
3
2
0
2
0
3
3
0
8
0
5
3
0
22
0
4
3
0
5.66
0
1
1
0
1
0
5
1
0
4.58
2
5
1
0
17
2
1
1
0
1.5
0
5
1
0
3
1
4
1
0
6
2
5
2
0
7
4
5
1
0
34
0
1
2
0
3.91
0
3
1
0
2
0
4
3
4
29
2
1
1
0
14
0
1
1
0
4
0
3
2
0
17
0
5
1
0
0.33
1
5
1
0
5.5
5
5
1
0
5
0
3
1
1
5
1
5
2
0
1
0
1
1
0
20
3
5
1
0
0.25
0
1
1
0
0.66
0
5
1
0
17
0
5
1
0
1
0
5
1
0
8
3
2
3
1
13
2
5
1
0
2
0
5
1
0
1
3
5
1
1
10
1
3
2
0
23
3
3
1
0
11
0
5
1
0
11
0
4
1
0
18
0
5
1
0
1.5
1
5
2
0
32
0
5
1
0
12
0
1
1
0
17
0
4
1
0
10
1
5
1
0
10
0
4
1
1
2
0
1
1
0
5.5
0
5
2
1
25
2
5
1
3
1
0
5
1
0
3.58
0
4
1
0
3
0
5
1
0
2
1
5
3
1
1.5
0
1
1
0
5
0
5
1
0
5
0
5
1
0
0.5
0
1
1
0
10
1
1
1
0
5
0
Page A17
1
2
3
4
5
6
Resp
Years
Count ID_No OCCUP INCOME WORKed EDUCat GENDER
138
65
2
27.0
13
10
0
139
73
2
60.0
32
12
1
140
79
2
49.0
30
12
1
141
81
2
42.3
11
13
1
142
86
2
28.8
24
14
0
143
97
2
49.2
8
15
1
144
104
2
25.0
14
12
1
145
107
2
30.0
8
10
1
146
117
2
46.3
10
12
1
147
132
2
52.5
27
8
1
148
139
2
52.3
16
12
1
149
148
2
31.7
15
11
1
150
153
2
40.4
14
12
1
151
157
2
40.9
33
12
1
152
179
2
54.8
18
13
1
153
185
2
40.8
25
13
1
154
211
2
36.4
54
12
1
155
216
2
32.8
7
12
1
156
228
2
36.8
20
12
1
157
243
2
53.6
22
15
1
158
247
2
25.3
34
13
1
159
259
2
28.1
5
12
0
160
266
2
41.9
34
16
1
161
268
2
26.2
13
13
1
162
273
2
36.1
22
14
1
163
281
2
36.6
20
12
1
164
289
2
49.2
20
14
1
165
297
2
61.2
37
14
1
166
310
2
46.6
21
14
1
167
323
2
53.6
27
12
1
168
329
2
35.0
35
12
1
169
331
2
52.7
35
12
1
170
335
2
42.5
42
12
1
171
337
2
57.2
16
14
1
172
342
2
23.2
10
14
1
173
343
2
32.5
35
11
0
174
351
2
31.8
44
12
1
175
352
2
56.9
25
12
1
176
367
2
41.2
16
12
1
177
369
2
32.0
4
12
0
178
371
2
22.6
18
14
1
179
372
2
25.2
10
12
1
180
373
2
25.8
27
14
1
181
374
2
31.3
24
11
1
182
379
2
25.3
4
12
0
183
380
2
43.9
28
12
1
184
395
2
62.8
15
12
1
185
397
2
51.1
26
12
1
186
2
3
35.2
15
12
0
187
14
3
25.8
20
14
0
188
19
3
43.1
7
16
1
189
21
3
34.3
7
12
0
190
29
3
24.7
15
16
1
191
31
3
34.1
33
14
0
192
40
3
25.4
16
12
1
193
50
3
29.3
10
13
0
194
58
3
32.5
10
12
1
195
77
3
31.7
15
12
0
196
82
3
27.9
17
14
1
197
94
3
30.6
20
14
0
198
98
3
29.7
27
12
0
199
99
3
37.1
21
13
0
200
100
3
27.8
20
12
0
201
108
3
33.1
25
16
0
202
109
3
36.8
18
13
1
203
110
3
29.3
8
12
0
204
112
3
26.7
20
12
0
205
113
3
25.9
9
12
0
206
114
3
35.8
45
12
0
207
115
3
33.9
10
13
1
7
AGE
40
48
53
30
40
29
32
25
26
44
34
33
31
51
37
49
60
24
38
40
56
21
51
29
40
38
36
54
41
44
52
55
53
32
28
52
51
42
33
21
36
28
43
44
25
47
35
42
33
50
25
24
35
50
32
26
27
53
27
52
43
39
40
42
37
28
37
35
63
29
8
Work
HRS
40
40
40
40
50
50
42
40
44
40
52
40
60
67
60
40
68
50
40
46
40
72
40
60
40
40
40
50
40
40
40
44
40
40
75
50
60
50
84
40
50
70
40
34
48
40
60
45
50
40
40
49
40
42
40
40
40
40
40
40
40
36
45
36
40
50
40
43
35
41
9
No
EARN
2
3
2
2
2
1
1
1
1
1
1
1
1
3
1
2
1
2
2
1
1
4
1
2
1
2
1
2
1
2
2
3
4
2
1
1
2
2
1
2
2
1
1
1
1
2
1
2
1
1
1
2
2
3
1
1
3
1
2
1
2
3
1
1
4
1
2
1
1
2
10
Fam
Inc
19.3
54.1
43.9
39.3
57.4
63.6
15.0
20.0
36.3
49.2
42.3
39.2
32.4
47.4
45.5
58.7
35.4
34.5
34.1
51.4
15.3
77.9
33.5
41.2
26.1
29.6
39.8
66.7
39.4
61.2
34.6
46.9
46.5
49.3
14.5
22.5
35.1
50.9
31.2
35.6
19.8
15.2
15.9
21.3
15.3
41.1
52.8
44.6
25.2
17.4
33.1
27.4
46.9
69.6
15.4
19.6
32.5
35.7
46.5
47.3
57.8
31.2
17.8
34.2
34.0
19.3
26.5
15.9
38.7
43.0
11
Job
Sat
2
2
2
2
1
1
3
3
2
2
2
2
2
1
2
4
1
2
2
1
1
1
2
1
2
1
1
1
2
1
1
2
1
2
2
1
3
1
1
2
2
1
2
2
2
2
3
2
1
3
4
3
2
2
1
2
1
2
2
2
1
2
1
4
3
2
2
1
1
2
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
5
3
0
4
0
4
3
2
21
4
5
1
0
0.08
0
5
1
0
10
2
5
3
0
1.5
1
4
2
0
1
0
4
3
0
1
0
4
3
0
2
3
1
1
0
2.5
0
4
3
0
11
1
5
1
0
13
2
5
1
0
1
2
5
2
0
12.5
3
4
3
1
32.33
0
5
2
0
3
0
5
2
0
6
0
1
1
0
10
4
5
1
0
3
0
5
2
0
7
0
5
1
0
18
6
5
1
0
1.83
0
1
1
0
1.08
0
5
3
0
6
1
1
3
0
5
1
5
2
0
15
1
1
1
0
11
3
2
1
0
18
2
5
1
0
5
0
5
2
0
11
1
3
1
0
20
4
5
1
0
27
0
5
1
0
14
0
5
2
0
22
0
5
1
0
1
0
4
1
0
3
0
5
1
0
19.16
0
5
1
0
8
0
5
2
0
14
0
1
2
0
13.91
3
1
2
0
1.25
3
2
2
0
9.66
5
1
2
0
9.66
2
5
3
0
18.16
7
4
2
0
4
0
4
1
1
2
0
1
1
0
19
1
1
3
0
3
2
5
3
0
19.25
0
1
2
0
4
3
1
1
0
10
0
5
3
0
1
1
4
2
0
5
1
5
2
3
0.75
2
5
1
0
3.5
1
1
2
0
0.16
0
3
1
0
4
5
5
1
0
5
0
5
2
0
12.5
1
5
1
2
0.5
0
5
1
0
3
1
5
1
0
9.41
1
5
1
0
16
0
1
1
0
0.5
0
5
2
0
12
1
4
1
0
16
0
1
1
0
3
0
1
1
0
10
0
5
1
0
1.5
1
2
3
0
22
1
4
3
0
3
2
Page A18
1
2
3
4
5
6
Resp
Years
Count ID_No OCCUP INCOME WORKed EDUCat GENDER
208
126
3
30.0
15
12
0
209
134
3
60.5
20
16
1
210
137
3
26.2
10
12
0
211
140
3
44.6
10
16
0
212
150
3
32.7
13
15
0
213
163
3
30.0
25
13
0
214
166
3
29.7
15
12
0
215
176
3
30.5
20
12
0
216
187
3
28.9
12
12
0
217
198
3
23.2
22
12
0
218
200
3
48.7
8
12
0
219
207
3
26.3
24
12
1
220
212
3
24.4
6
16
0
221
213
3
23.4
26
12
0
222
218
3
25.3
17
13
0
223
220
3
25.5
21
14
0
224
222
3
55.8
24
12
1
225
233
3
29.3
16
9
1
226
236
3
72.8
19
12
0
227
249
3
27.8
10
15
0
228
250
3
25.4
15
14
0
229
252
3
25.0
11
12
0
230
254
3
62.7
31
14
1
231
269
3
50.7
24
18
0
232
280
3
27.1
15
13
0
233
300
3
27.7
20
13
0
234
307
3
25.3
3
12
0
235
312
3
28.1
22
13
0
236
315
3
56.6
32
12
1
237
350
3
32.5
25
12
0
238
359
3
25.0
6
12
0
239
360
3
34.2
30
12
0
240
385
3
29.3
18
12
1
241
390
3
31.9
21
12
0
242
400
3
25.5
34
12
0
243
450
3
46.1
36
16
0
244
500
3
28.1
4
14
0
245
550
3
25.6
24
14
0
246
600
3
37.3
20
12
0
247
650
3
24.2
20
17
0
248
700
3
33.2
37
13
0
249
750
3
20.3
20
13
0
250
800
3
26.8
27
12
0
251
1
4
35.7
25
14
0
252
15
4
37.5
31
4
1
253
20
4
20.5
3
11
1
254
43
4
21.5
1
12
1
255
66
4
26.5
27
12
1
256
69
4
20.2
34
9
1
257
71
4
64.2
26
12
1
258
80
4
40.9
37
14
1
259
87
4
49.6
8
17
1
260
101
4
24.6
20
12
0
261
116
4
28.9
16
14
1
262
128
4
47.3
10
14
1
263
129
4
26.7
20
12
0
264
141
4
32.5
6
12
1
265
144
4
24.9
9
15
1
266
158
4
45.1
31
12
1
267
159
4
23.9
10
14
0
268
162
4
36.7
19
16
1
269
167
4
55.3
14
12
1
270
168
4
44.0
12
12
1
271
171
4
55.3
30
16
1
272
183
4
33.7
40
8
1
273
192
4
41.2
21
14
1
274
194
4
26.4
13
12
1
275
195
4
36.1
13
10
1
276
199
4
21.9
35
14
0
277
209
4
41.4
41
8
1
7
AGE
42
37
35
27
29
61
32
55
29
38
32
41
29
42
38
47
41
33
36
27
37
32
48
44
41
40
20
65
48
61
23
55
35
31
56
56
30
42
38
38
58
57
69
64
49
20
18
27
53
43
43
29
49
33
27
48
23
26
48
30
35
32
33
47
61
38
30
29
55
58
8
Work
HRS
40
50
40
40
42
40
40
40
32
40
40
72
40
40
35
60
45
56
40
45
40
40
80
40
40
45
40
40
40
40
44
50
40
47
40
40
48
37
40
37
32
32
29
30
40
50
45
30
35
48
40
59
40
50
65
40
46
38
44
37
48
52
40
52
32
60
42
40
40
65
9
No
EARN
2
2
2
2
2
1
2
1
2
2
1
1
3
1
1
3
1
1
1
1
1
2
2
2
2
3
2
1
4
1
2
2
2
3
2
1
2
1
4
1
1
2
1
2
1
2
5
1
1
2
1
2
4
2
2
3
2
2
2
2
2
1
2
1
2
2
1
2
2
3
10
Fam
Inc
23.0
59.2
43.4
69.3
43.1
20.0
38.9
20.5
21.9
16.7
38.7
16.3
28.3
29.7
15.3
68.7
49.4
23.2
63.4
17.8
15.4
25.4
56.1
49.2
32.4
31.4
27.1
18.2
71.0
22.5
37.3
27.9
45.0
40.2
44.5
36.9
41.8
16.4
72.6
49.2
23.2
42.5
16.8
81.9
27.6
14.3
55.5
17.0
15.6
67.9
30.9
46.6
82.5
22.4
39.7
46.8
25.3
39.1
63.2
43.4
46.6
45.3
46.4
46.0
26.6
50.0
17.3
28.6
24.0
42.3
11
Job
Sat
1
2
2
1
2
1
2
2
1
2
2
1
3
1
1
4
1
1
1
1
1
2
4
3
2
2
1
1
1
1
3
2
2
1
2
1
2
4
1
2
2
2
1
1
2
1
3
2
1
1
1
1
2
2
2
2
2
1
2
2
2
1
3
2
2
2
3
2
1
2
12
13
14
15
16
Job
Get TraumatEmploy Num
Char Ahead Events Years Prom
2
3
0
7.08
0
5
1
0
8.5
2
1
1
0
2.5
3
5
1
0
5
4
2
3
0
4.33
0
1
2
0
18.33
0
5
1
1
11.58
3
1
2
0
15
2
5
1
0
3
1
5
1
1
1
0
1
1
0
6
0
5
3
1
18
0
1
1
0
3
0
4
1
0
1.08
1
5
1
1
4
1
5
3
0
1
0
5
1
0
8
4
4
1
0
4.5
0
4
1
0
2.16
0
5
3
0
2
0
1
1
1
15
3
3
1
0
10
0
1
3
0
9
1
1
2
0
22
0
5
1
0
4
0
5
1
0
7
1
4
1
0
1.5
0
5
1
0
13
1
5
1
0
25
1
5
3
0
17
1
2
1
0
2.5
0
1
2
0
30
3
1
1
0
8
0
1
1
0
10
0
5
1
0
21
0
1
1
0
30
3
1
2
1
1
1
1
2
0
2
0
4
1
0
10.5
4
5
1
0
5
0
5
2
1
5
0
1
2
1
3
0
5
1
0
25
3
3
2
0
11
0
3
2
1
22.08
0
1
1
0
1
3
1
1
0
1
0
5
1
2
0.5
0
5
1
1
5
0
1
1
0
11
2
5
3
0
2
0
1
2
0
2.83
0
1
1
0
4
0
5
2
1
1
0
1
1
1
2
0
5
1
0
9
0
5
1
1
1.41
0
5
1
5
0.5
1
2
3
0
24.75
2
5
1
0
4
0
1
1
0
12
1
5
1
0
13
3
5
1
1
11
0
5
3
0
8
0
5
1
1
40
0
5
1
0
15
2
5
2
1
1.5
0
2
3
0
0.25
0
5
1
1
29.5
1
2
1
0
3
0
Page A19
1
2
3
4
5
6
Resp
Years
Count ID_No OCCUP INCOME WORKed EDUCat GENDER
278
215
4
22.0
19
14
1
279
223
4
39.5
21
15
1
280
227
4
35.9
11
12
1
281
232
4
23.1
20
12
1
282
234
4
21.1
4
12
0
283
241
4
29.3
30
8
1
284
253
4
40.3
25
13
1
285
262
4
35.2
16
11
1
286
263
4
31.4
22
12
1
287
265
4
26.1
33
10
1
288
279
4
43.0
35
8
1
289
292
4
37.5
29
12
1
290
302
4
52.8
38
14
1
291
304
4
30.5
27
16
0
292
306
4
28.2
45
11
0
293
324
4
32.5
12
12
1
294
326
4
41.8
45
8
1
295
330
4
46.9
21
12
1
296
334
4
35.7
11
11
0
297
336
4
31.6
12
16
0
298
340
4
24.7
8
12
0
299
344
4
33.3
22
12
1
300
348
4
41.1
4
14
1
301
353
4
23.7
10
13
1
302
355
4
61.9
16
12
0
303
356
4
28.7
20
14
0
304
357
4
20.8
10
12
0
305
362
4
24.9
27
12
1
306
375
4
27.6
8
12
1
307
382
4
25.4
6
12
0
308
383
4
32.6
32
10
1
309
384
4
41.4
24
11
1
310
386
4
21.8
25
12
0
311
388
4
23.3
16
12
1
312
389
4
20.1
13
12
0
313
392
4
58.4
15
14
1
314
399
4
46.3
16
12
1
315
25
5
54.7
13
16
0
316
403
5
88.3
14
20
1
317
404
5
50.5
12
15
1
318
410
5
48.4
15
16
1
319
418
5
36.6
43
16
1
320
430
5
41.3
18
12
0
321
438
5
58.7
19
19
1
322
441
5
63.7
42
14
1
323
446
5
85.6
23
18
1
324
448
5
42.8
22
17
0
325
451
5
60.1
20
17
0
326
453
5
40.3
16
18
1
327
456
5
42.2
2
16
1
328
459
5
30.1
18
17
1
329
461
5
60.6
36
16
1
330
462
5
32.5
23
13
0
331
464
5
25.5
5
11
0
332
467
5
53.3
18
15
1
333
475
5
26.0
6
16
0
334
478
5
33.6
11
16
1
335
489
5
35.2
20
12
0
...
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