Problem 2: Supplement for Weightlifting Continued n comparison to the previous problem, let us say that the weightlifting supplement company nformed you that how long a female weightlifter has been lifting impacts the amount of muscle mass they can gain. Suppose that you changed your data collection method from what you did in Problem 1. Now you randomly select one weightlifter from each group (supplement and placebo) that have been lifting for 39 to 40 months. Next, you randomly sample one weightlifter from each group that have been lifting for 37 to 38 months. Then, you continue this process until he 20th pair of weightlifters have lifted for 2 months or less. The data contains the whole body ean mass difference in pounds and training experience in months. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test.

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Problem 2: Supplement for Weightlifting Continued
In comparison to the previous problem, let us say that the weightlifting supplement company
informed you that how long a female weightlifter has been lifting impacts the amount of muscle
mass they can gain. Suppose that you changed your data collection method from what you did in
Problem 1. Now you randomly select one weightlifter from each group (supplement and
placebo) that have been lifting for 39 to 40 months. Next, you randomly sample one weightlifter
from each group that have been lifting for 37 to 38 months. Then, you continue this process until
the 20th pair of weightlifters have lifted for 2 months or less. The data contains the whole body
lean mass difference in pounds and training experience in months. Can you infer that the
supplement group gained more muscle mass on average than the placebo group? Use a = 0.05
for any hypothesis test.
List the conditions necessary to complete this probiem.
g) Calculate the test statistic (you may use technology).
h) Construct a Rejection Region graph in StatCrunch.
i)
Calculate the P-value using technology (write the probability statement as well as the
exact probability).
Transcribed Image Text:Problem 2: Supplement for Weightlifting Continued In comparison to the previous problem, let us say that the weightlifting supplement company informed you that how long a female weightlifter has been lifting impacts the amount of muscle mass they can gain. Suppose that you changed your data collection method from what you did in Problem 1. Now you randomly select one weightlifter from each group (supplement and placebo) that have been lifting for 39 to 40 months. Next, you randomly sample one weightlifter from each group that have been lifting for 37 to 38 months. Then, you continue this process until the 20th pair of weightlifters have lifted for 2 months or less. The data contains the whole body lean mass difference in pounds and training experience in months. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test. List the conditions necessary to complete this probiem. g) Calculate the test statistic (you may use technology). h) Construct a Rejection Region graph in StatCrunch. i) Calculate the P-value using technology (write the probability statement as well as the exact probability).
Row Supplement
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
2.39
4.03
3.89
2.79
3.12
4.97
2.46
2.61
6.39
5.39
4.94
8.21
3.53
6.07
3.53
8.56
5.21
6.83
5.1
9.39
sExperience
40
38
35
34
32
30
28
26
24
21
20
17
15
14
11
10
00
8
5
3
2
Placebo
5.22
1.91
1.71
3.63
3.73
2.27
3.95
2.27
4.35
5.08
6.06
8
0.61
-0.39
5.46
3.37
8.48
6.04
5.42
6.14
pExperience
40
37
36
33
31
29
27
25
24
22
19
17
15
13
12
10
7
5
4
1
Transcribed Image Text:Row Supplement 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 2.39 4.03 3.89 2.79 3.12 4.97 2.46 2.61 6.39 5.39 4.94 8.21 3.53 6.07 3.53 8.56 5.21 6.83 5.1 9.39 sExperience 40 38 35 34 32 30 28 26 24 21 20 17 15 14 11 10 00 8 5 3 2 Placebo 5.22 1.91 1.71 3.63 3.73 2.27 3.95 2.27 4.35 5.08 6.06 8 0.61 -0.39 5.46 3.37 8.48 6.04 5.42 6.14 pExperience 40 37 36 33 31 29 27 25 24 22 19 17 15 13 12 10 7 5 4 1
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