A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 35 elderly women runners was 32.1% higher than the average RMR of 35 sedentary elderly women, an standard deviations were reported to be 10.4% 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, 0.0005 SP-value <0.005 0 025 SP-value <0.05
A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 35 elderly women runners was 32.1% higher than the average RMR of 35 sedentary elderly women, an standard deviations were reported to be 10.4% 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, 0.0005 SP-value <0.005 0 025 SP-value <0.05
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Can you please determine the range into which the P-Value falls from the picture i was stuck at there please
![A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 35 elderly women runners was 32.1% higher than the average RMR of 35 sedentary elderly women, and the
standard deviations were reported to be 10.4% 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,
0.0005 SP-value <0.005
0.025 SP-value <0.05
P-value 20.75
P-value <0.0005
0.10 sP-value <0,25
0.25SP-value <0 50
and let sample 2 be the sedentary women. State the null and alternative hypotheses
0.005 SP-value <001
0.01SP-value <0.025
0 50 sP-value <0.75
0.05 sP-value<0.10
Clear al](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0caf8f5e-a4e8-4876-9244-ea0a06fea2f2%2Ff5e44e5e-f9ee-439e-b9f1-1128a5336b7d%2Fyoosnd_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 35 elderly women runners was 32.1% higher than the average RMR of 35 sedentary elderly women, and the
standard deviations were reported to be 10.4% 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,
0.0005 SP-value <0.005
0.025 SP-value <0.05
P-value 20.75
P-value <0.0005
0.10 sP-value <0,25
0.25SP-value <0 50
and let sample 2 be the sedentary women. State the null and alternative hypotheses
0.005 SP-value <001
0.01SP-value <0.025
0 50 sP-value <0.75
0.05 sP-value<0.10
Clear al
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