MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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A statistics student collected data on the prices of the same items at a military commissary and a nearby corporate store. The items were matched for content, manufacturer, and size and were priced separately.
a. Report and compare the sample means.
b. Assume that they are a random sample of items, and use a significance level of 0.05 to test the hypothesis that the military commissary has a lower mean price. Assume that the population distribution of differences is approximately Normal.
Click the icon to view the data.
a. Calculate the sample means.
ХCогрoгate 3
More info
XNavy =
(Round to two decimal places as needed.)
Corporate
Military
Commissary
16.98
Item
Store
18.26
4.47
2.65
3
4.98
5.57
4
8.12
6.07
2.88
2.66
3.88
4.36
7
4.98
4.09
3.56
4.08
8
3.07
9
2.82
10
4.27
2.78
11
1.58
0.89
12
2.93
5.98
2.24
13
1.77
14
6.22
4.73
15
3.07
5.25
16
4.27
4.02
17
7.54
7.68
18
1.38
1.26
19
1.08
0.78
20
2.29
2.51
0.65
21
0.81
22
1.73
1.92
23
0.83
0.54
2.64
2.54
24
3.83
25
1.87
26
0.99
0.85
27
2.51
2.31
28
1.43
1.37
1.29
29
2.68
30
1.07
0.99
31
0.65
0.64
32
1.58
1.31
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Transcribed Image Text:A statistics student collected data on the prices of the same items at a military commissary and a nearby corporate store. The items were matched for content, manufacturer, and size and were priced separately. a. Report and compare the sample means. b. Assume that they are a random sample of items, and use a significance level of 0.05 to test the hypothesis that the military commissary has a lower mean price. Assume that the population distribution of differences is approximately Normal. Click the icon to view the data. a. Calculate the sample means. ХCогрoгate 3 More info XNavy = (Round to two decimal places as needed.) Corporate Military Commissary 16.98 Item Store 18.26 4.47 2.65 3 4.98 5.57 4 8.12 6.07 2.88 2.66 3.88 4.36 7 4.98 4.09 3.56 4.08 8 3.07 9 2.82 10 4.27 2.78 11 1.58 0.89 12 2.93 5.98 2.24 13 1.77 14 6.22 4.73 15 3.07 5.25 16 4.27 4.02 17 7.54 7.68 18 1.38 1.26 19 1.08 0.78 20 2.29 2.51 0.65 21 0.81 22 1.73 1.92 23 0.83 0.54 2.64 2.54 24 3.83 25 1.87 26 0.99 0.85 27 2.51 2.31 28 1.43 1.37 1.29 29 2.68 30 1.07 0.99 31 0.65 0.64 32 1.58 1.31
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