A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 25 elderly women runners was 32.1% higher than the average RMR of 25 sedentary elderly women, and the standard deviations were reported to be 10.3% and 10.1%, 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. = 0 H1: H1 - H2 > Determine the test statistic. (Round to two decimal places as needed.)

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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 32.1% higher than the average RMR of 25
sedentary elderly women, and the standard deviations were reported to be 10.3% and 10.1%, 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.
= Z1 – rl :0H
Determine the test statistic.
t =
(Round to two decimal places as needed.)
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 32.1% higher than the average RMR of 25 sedentary elderly women, and the standard deviations were reported to be 10.3% and 10.1%, 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. = Z1 – rl :0H Determine the test statistic. t = (Round to two decimal places as needed.)
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