-2.1608. (Use a significance level of 0.05) To investigate the effect of four treatments en change in body fat mass each of 74 male subjects who were over age 65 was assigned at random to one of the following four treatments: (1) placebo "growth hormone" and placebe "stersid" (denoted by P+P), (2) placebo "growth hormone" and the steroid testosterone (denoted by P+S), (3) growth hormone and placebo "stered" (densted by G+P), and (4) growth hormone and the steroid testosterone (denoted by G+S). The accompanying table lists data on change in body fat mass over the 26-week period following the treatment. Carry out an F test to see whether true mean change in body fat mass differs for the four treatments if N-74, grand total T--159.9, and 7- Change in Body Fat Mass (kg) Treatment " x P+P P+S G+P G+S 0.2 -3.8 -1.1 -3.3 0.3 -3.1 -2.2 -5.3 -2.5 -2.0 1.4 -2.1 -6.3 14 -1.3 -34 -7.1 0.7 1.3 -4.5 -4.4 1.6 -2.6 -0.9 -4.1 -1.3 -3.4 -19 -5.3 -0.3 0.3 -4.1 -6 1.6 0.5 -2.0 -4.1 1.1 -0.6 -3.1 -4.0 0.5 -0.2 -17 -3.4 0.3 -3.2 -3.0 -5.6 0.4 -2.8 -0.4 0.5 -0.7 -36 -1.0 -46 -2.1 -0.7 17 21 17 19 0.050 -0.9476 -3.1204 -4.6211 1.1286 14784 1.1815 1.1429 1.2738 2.1856 1.3960 1.3062 Calculate the best statistic. (Round your answer to two decimal places.) Use technology to find the P-value. (Round your answer to four decimal places.) The conclusion is the following. O reject O fail to reject

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
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Chapter11: Data Analysis And Probability
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-2.1608. (Use a significance level of 0.05)
To investigate the effect of four treatments en change in body fat mass each of 74 male subjects who were over age 65 was assigned at random to one of the following four treatments: (1) placebo "growth hormone" and placebe "stersid" (denoted by P+P), (2) placebo "growth hormone" and the steroid testosterone (denoted by P+S), (3) growth hormone and placebo "stered" (densted by G+P), and (4) growth
hormone and the steroid testosterone (denoted by G+S). The accompanying table lists data on change in body fat mass over the 26-week period following the treatment. Carry out an F test to see whether true mean change in body fat mass differs for the four treatments if N-74, grand total T--159.9, and 7-
Change in Body Fat Mass (kg)
Treatment
"
x
P+P
P+S
G+P
G+S
0.2
-3.8
-1.1
-3.3
0.3
-3.1
-2.2
-5.3
-2.5
-2.0
1.4
-2.1
-6.3
14
-1.3
-34
-7.1
0.7
1.3
-4.5
-4.4
1.6
-2.6
-0.9
-4.1
-1.3
-3.4
-19
-5.3
-0.3
0.3
-4.1
-6
1.6
0.5
-2.0
-4.1
1.1
-0.6
-3.1
-4.0
0.5
-0.2
-17
-3.4
0.3
-3.2
-3.0
-5.6
0.4
-2.8
-0.4
0.5
-0.7
-36
-1.0
-46
-2.1
-0.7
17
21
17
19
0.050 -0.9476 -3.1204 -4.6211
1.1286 14784 1.1815 1.1429
1.2738
2.1856
1.3960
1.3062
Calculate the best statistic. (Round your answer to two decimal places.)
Use technology to find the P-value. (Round your answer to four decimal places.)
The conclusion is the following.
O reject
O fail to reject
Transcribed Image Text:-2.1608. (Use a significance level of 0.05) To investigate the effect of four treatments en change in body fat mass each of 74 male subjects who were over age 65 was assigned at random to one of the following four treatments: (1) placebo "growth hormone" and placebe "stersid" (denoted by P+P), (2) placebo "growth hormone" and the steroid testosterone (denoted by P+S), (3) growth hormone and placebo "stered" (densted by G+P), and (4) growth hormone and the steroid testosterone (denoted by G+S). The accompanying table lists data on change in body fat mass over the 26-week period following the treatment. Carry out an F test to see whether true mean change in body fat mass differs for the four treatments if N-74, grand total T--159.9, and 7- Change in Body Fat Mass (kg) Treatment " x P+P P+S G+P G+S 0.2 -3.8 -1.1 -3.3 0.3 -3.1 -2.2 -5.3 -2.5 -2.0 1.4 -2.1 -6.3 14 -1.3 -34 -7.1 0.7 1.3 -4.5 -4.4 1.6 -2.6 -0.9 -4.1 -1.3 -3.4 -19 -5.3 -0.3 0.3 -4.1 -6 1.6 0.5 -2.0 -4.1 1.1 -0.6 -3.1 -4.0 0.5 -0.2 -17 -3.4 0.3 -3.2 -3.0 -5.6 0.4 -2.8 -0.4 0.5 -0.7 -36 -1.0 -46 -2.1 -0.7 17 21 17 19 0.050 -0.9476 -3.1204 -4.6211 1.1286 14784 1.1815 1.1429 1.2738 2.1856 1.3960 1.3062 Calculate the best statistic. (Round your answer to two decimal places.) Use technology to find the P-value. (Round your answer to four decimal places.) The conclusion is the following. O reject O fail to reject
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