A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 25 elderly women runners was 33.1% higher than the average RMR of 25 sedentary elderly women, and the standard deviations were reported to be 10.5% and 10 2%, respectively. Was there a significance increase in RMR of the women runners over the sedentary women? Assume the populations to be approximately normally distributed with equal variances. Use a P-value in the conclusion Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. Let sample 1 be the women runners and let sample 2 be the sedentary women. State the null and alternative hypotheses Hg. Họ th H₁ H₁ H₂

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 25 elderly women runners was 33.1% higher than the average
RMR of 25 sedentary elderly women, and the standard deviations were reported to be 10.5% and 10 2%, respectively. Was there a significance increase in RMR of the women
runners over the sedentary women? Assume the populations to be approximately normally distributed with equal variances. Use a P-value in the conclusion.
Click here to view page 1 of the table of critical values of the t-distribution.
Click here to view page 2 of the table of critical values of the t-distribution.
Let sample 1 be the women runners and let sample 2 be the sedentary women. State the null and alternative hypotheses.
Ho-H, H
H₁ H₂
Transcribed Image Text:A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 25 elderly women runners was 33.1% higher than the average RMR of 25 sedentary elderly women, and the standard deviations were reported to be 10.5% and 10 2%, respectively. Was there a significance increase in RMR of the women runners over the sedentary women? Assume the populations to be approximately normally distributed with equal variances. Use a P-value in the conclusion. Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. Let sample 1 be the women runners and let sample 2 be the sedentary women. State the null and alternative hypotheses. Ho-H, H H₁ H₂
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