When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?, statistics homework help

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Use MS Word to complete "Questions to be Graded: Exercise 27" in Statistics for Nursing Research: A Workbook for Evidence-Based Practice. Submit your work in SPSS by copying the output and pasting into the Word document. In addition to the SPSS output, please include explanations of the results where appropriate.

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Explanation & Answer

Below is the completed assignment :)

RUNNING HEAD: Exercise 27

EXERCISE 27
SCHOOL NAME
CLASS NAME
PROFESSOR/TEACHER NAME
YOUR NAME
DATE

1

Exercise 27
RESPONSES TO EXERCISE 27 SPSS
Q&A

1. What is the mean age of the sample data?
The average age if the sampled size is 56.50
2. What percentage of patients never used tobacco?
20%
3. What is the standard deviation for age?
19.26
4. Are there outliers among the values of age? Provide a rationale for your answer.
There are technically no outliers within the group according to the SPSS program.
SPSS does not demonstrate any data points as outliers. The standard deviation is 19.26
indicating that all age values are not closely set around the average and they have a
vast range. Lastly, no age value is more than two standard deviations from the
average.
5. What is the range of age values?
51
6. What percentage of patients were taking infliximab?
30%
7. What percentage of patients had rheumatoid arthritis as their primary diagnosis?
50%
8. What percentage of patients had irritable bowel syndrome as their primary diagnosis?
30%
9. What is the 95% CI for age?
42.72-70.28
10. What percentage of patients had psoriatic arthritis as their primary diagnosis?
10%

2

Exercise 27

SPSS OUTPUT FOR EXERCISE 27:
FREQUENCIES VARIABLES=Race Gender
/ORDER=ANALYSIS.

Frequencies
Notes
Output Created

31-AUG-2017 09:09:18

Comments
Input

Data

\\Client\C$\Users\home\D
ocuments\Schoolstuff\Exc
ercise 27.sav

Active Dataset

DataSet0

Filter



Weight



Split File



N of Rows in Working

10

Data File
Missing Value Handling

Definition of Missing

User-defined missing
values are treated as
missing.

Cases Used

Statistics are based on all
cases with valid data.

Syntax

FREQUENCIES
VARIABLES=Race
Gender
/ORDER=ANALYSIS.

Resources

Processor Time

00:00:00.00

Elapsed Time

00:00:00.05

[DataSet0] \\Client\C$\Users\home\Documents\Schoolstuff\Excercise 27.sav

Statis
tics
Race
N

Valid
Missing

Gender
10

10

0

0

3

Exercise 27

Frequency Table
Race
Frequency
Valid

Percent

Valid

Cumulativ

Percent

e Percent

Black

3

30.0

30.0

30.0

Caucasion

7

70.0

70.0

100.0

10

100.0

100.0

Total

Gender
Cumulati
Frequenc
y
Valid

F

Percent

Valid

ve

Percent

Percent

10

100.0

100.0

100.0

EXAMINE VARIABLES=Duration
/PLOT BOXPLOT STEMLEAF
/COMPARE GROUPS
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.

Explore
Notes
Output Created

31-AUG-2017 09:10:23

Comments
Input

Data

\\Client\C$\Users\home\D
ocuments\Schoolstuff\Exc
ercise 27.sav

Active Dataset

DataSet0

Filter



Weight



Split File



N of Rows in Working

10

4

Exercise 27

Data File
Missing Value Handling

Definition of Missing

User-defined missing
values for dependent
variables are treated as
missing.

Cases Used

Statistics are based on
cases with no missing
values for any dependent
variable or factor used.

Syntax

EXAMINE
VARIABLES=Duration
/PLOT BOXPLOT
STEMLEAF
/COMPARE GROUPS
/STATISTICS
DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.

Resources

Processor Time

00:00:02.87

Elapsed Time

00:00:01.99

Case
Proce
ssing
Summ
ary
Cases

Duration

Valid

Missing

Total

N

Percent

N

10

100.0%

Percent
0

N

0.0%

Percent
10

100.0%

Descriptiv
es
Statistic
Duration

Mean
95%

Std. Error
1.890

.3860

Lower Bound

1.017

5

Exercise 27

Confidence

Upper Bound

2.763

Interval for
Mean
5% Trimmed

1.872

Mean
Median

1.750
1.490
1.2206
.1
4.0
3.9
2.0

Skewness
Kurtosis

.159

.687

-.437

1.334

Duration
Duration Stem-and-Leaf Plot
Frequency
2.00
3.00
2.00
2.00
1.00
Stem width:
Each leaf:

Stem &
0
1
2
3
4

.
.
.
.
.

Leaf
13
355
02
00
0

1.0
1 case(s)

FREQUENCIES VARIABLES=Tobacco
/ORDER=ANALYSIS.

Frequencies
Notes
Output Created

31-AUG-2017 09:11:23

Comments
Input

Data

\\Client\C$\Users\home\D
ocuments\Schoolstuff\Exc

6

Exercise 27

ercise 27.sav
Active Dataset

DataSet0

Filter



Weight



Split File



N of Rows in Working

10

Data File
Missing Value Handling

Definition of Missing

User-defined missing
values are treated as
missing.

Cases Used

Statistics are based on all
cases with valid data.

Syntax

FREQUENCIES
VARIABLES=Tobacco
/ORDER=ANALYSIS.

Resources

Processor Time

00:00:00.00

Elapsed Time

00:00:00.00

Statistics
Tobacco
N

Valid

10

Missing

0

Tobacc
o
Cumulati
Frequenc
y
Valid

Percent

Valid

ve

Percent

Percent

C

1

10.0

10.0

10.0

F

7

70.0

70.0

80.0

N

2

20.0

20.0

100.0

10

100.0

100.0

Total

FREQUENCIES VARIABLES=Age
/ORDER=ANALYSIS.

Frequencies
Notes
Output Created

31-AUG-2017 09:12:43

7

Exercise 27

Comments
Input

Data

\\Client\C$\Users\home\D
ocuments\Schoolstuff\Exc
ercise 27.sav

Active Dataset

DataSet0

Filter



Weight



Split File



N of Rows in Working

10

Data File
Missing Value Handling

Definition of Missing

User-defined missing
values are treated as
missing.

Cases Used

Statistics are based on all
cases with valid data.

Syntax

FREQUENCIES
VARIABLES=Age
/ORDER=ANALYSIS.

Resources

Processor Time

00:00:00.00

Elapsed Time

00:00:00.00

Statis
tics
Age
N

Valid

10

Missin

0

g

Age
Cumulati
Frequenc
y
Valid

Percent

Valid

ve

Percent

Percent

35

1

10.0

10.0

10.0

37

1

10.0

10.0

20.0

41

1

10.0

10.0

30.0

42

1

10.0

10.0

40.0

49

1

10.0

10.0

50.0

8

Exercise 27

56

1

10.0

10.0

60.0

59

1

10.0

10.0

70.0

78

1

10.0

10.0

80.0

82

1

10.0

10.0

90.0

86

1

10.0

10.0

100.0

10

100.0

100.0

Total

EXAMINE VARIABLES=Age
/PLOT BOXPLOT STEMLEAF
/COMPARE GROUPS
/STATISTICS DESCRIPTIVES
/CINTERVAL 95
/MISSING LISTWISE
/NOTOTAL.

Explore
Notes
Output

31-AUG-

Created

2017
09:13:08

Comme
nts
Input

Data

\\Client\
C$\User
s\home\
Docume
nts\Scho
olstuff\E
xcercise
27.sav

Active

DataSet

Dataset

0

Filter




10

Missing

Definitio

User-

Value

n of

defined

Handling

Missing

missing
values
for

9

Exercise 27

depende
nt
variable
s are
treated
as
missing.
Cases

Statistic

Used

s are
based
on
cases
with no
missing
values
for any
depende
nt
variable
or factor
used.

Syntax

EXAMIN
E
VARIAB
L...


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