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.)

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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Description: 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 25sedentary elderly women, and the standard deviations were reported t

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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Concept explainers

Unitary Method

The word “unitary” comes from the word “unit”, which means a single and complete entity. In this method, we find the value of a unit product from the given number of products, and then we solve for the other number of products.

Speed, Time, and Distance

Imagine you and 3 of your friends are planning to go to the playground at 6 in the evening. Your house is one mile away from the playground and one of your friends named Jim must start at 5 pm to reach the playground by walk. The other two friends are 3 miles away.

Profit and Loss

The amount earned or lost on the sale of one or more items is referred to as the profit or loss on that item.

Units and Measurements

Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.

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Question

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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