Assignment 3

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Uhffnz002

Mathematics

UB

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Question 1. 40 points

A lightbulb manufacturer wants to estimate the total number of defective bulbs contained in all of the boxes shipped by the company during the past week. Production personnel at this company have recorded the number of defective bulbs found in each of 50 randomly selected boxes shipped during the past week. These data are provided in the worksheet named Q1.

Calculate a 95% confidence interval for the total number of defective bulbs contained in the 1000 boxes shipped by this company during the past week and report your results.

Question 2. 60 points

A study is performed in a large southern town to determine whether the average amount spent on food per four-person family in the town is significantly different from the national average.
A random sample of the weekly grocery bills of families in this town is obtained.
Assume the national average amount spent on food for a four- person family is $150.

A.Identify the null and alternative hypotheses for this situation.

B.Is the sample evidence statistically significant?
If so, at what significance levels can you reject the null hypothesis?

C.For which values of the sample mean (i.e., average weekly grocery bill) would you reject the null hypothesis at the 1% significance level?
For which values of the sample mean would you reject the null hypothesis at the 10% level?

Unformatted Attachment Preview

1. Data File A lightbulb manufacturer wants to estimate the total number of defective bulbs contained in all of the boxes shipped by the company during the past week. Production personnel at this company have recorded the number of defective bulbs found in each of 50 randomly selected boxes shipped during the past week. These data are provided in the file P08_12.xlsx. Calculate a 95% confidence interval for the total number of defective bulbs contained in the 1000 boxes shipped by this company during the past week. (Round your answers to a whole number.) Lower Limit _________________ Upper Limit _________________ 2. Data File A study is performed in a large southern town to determine whether the average amount spent on food per four-person family in the town is significantly different from the national average. A random sample of the weekly grocery bills of two-person families in this town is given in the file P09_06.xlsx. Assume the national average amount spent on food for a four-person family is $150. a. The null hypothesis for this situation. _________________ The alternative hypothesis for this situation. _________________ b. Is the sample evidence statistically significant? _________________ If so, at what significance levels can you reject the null hypothesis? _________________ Round your answers to one decimal place, if necessary. c. For which values of the sample mean (i.e., average weekly grocery bill) would you reject the null hypothesis at the 1% significance level? At the 1% significance level, if X̄ is lower than _________________ or higher than _________________ , we would reject the null hypothesis. For which values of the sample mean would you reject the null hypothesis at the 10% level? At the 10% significance level, if X̄ is lower than _________________ or higher than _________________ , we would reject the null hypothesis. Box 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 Number Defective 1 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 2 0 1 0 0 1 0 0 0 2 3 44 45 46 47 48 49 50 0 2 0 0 2 0 0 Family 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 Weekly food expense $198.23 $143.53 $207.48 $134.55 $182.01 $189.84 $170.36 $163.72 $155.73 $203.73 $191.19 $172.66 $154.25 $179.03 $130.29 $170.73 $194.50 $171.14 $175.19 $177.25 $166.62 $135.54 $141.18 $158.48 $159.78 $157.42 $98.40 $181.63 $128.45 $190.84 $154.04 $190.22 $161.48 $113.42 $148.83 $197.68 $135.49 $146.72 $176.62 $154.60 $178.39 $186.32 $157.94 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 $116.35 $136.81 $195.58 $129.44 $146.84 $165.63 $158.97 $210.00 $175.46 $159.69 $154.56 $152.95 $177.30 $129.23 $127.40 $167.48 $183.83 $157.39 $163.24 $165.01 $137.43 $177.37 $142.68 $150.04 $161.44 $166.13 $190.96 $187.19 $116.63 $159.73 $159.64 $142.44 $153.03 $143.12 $156.35 $182.70 $129.03 $119.06 $137.99 $144.20 $183.51 $169.67 $134.66 $202.94 88 89 90 91 92 93 94 95 96 97 98 99 100 $143.43 $170.52 $139.53 $159.31 $134.77 $165.48 $127.20 $168.16 $125.39 $167.96 $178.64 $134.38 $111.87
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Explanation & Answer

Find the solution worksheet attached herewith..

Box
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43

Number Defective
1
0
0
0
0
1
0
0
2
0
0
0
0
0
0
0
0
1
1
0
0
1
0
0
0
0
0
0
1
0
0
0
2
0
1
0
0
1
0
0
0
2
3

This is fictitious data.

44
45
46
47
48
49
50

0
2
0
0
2
0
0

Confidence Interval(One box)
Sample Mean
Sample Standard Deviation
Confidence Level(Mean)
Degrees of Freedom
Error Bound for Population Mean
Lower Limit
Upper Limit

Confidence Interval(1000 boxes total)
Lower limit
Upper Limit

No of defec...

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