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a https//www mattudcom/Student/Pl yes STAT-10 Test: Chapter 11 Post-Test This Te

ID: 3234445 • Letter: A

Question

a https//www mattudcom/Student/Pl yes STAT-10 Test: Chapter 11 Post-Test This Test: 27 pts p 22 of 27 27 complete) This Question: 1 pt A physical therapist wanted to know whether the mean stop pulse of men was less than Two sampleTfor Men vs Women the mean step pulse of women She randomly selected 55 men and T7 women to Mean SE Mean 1.6 55 1126 11.5 participate in the study. Each subject was required to step up and down a 6 inch 118.3 144 16 platform The pulse of each subject was then recorded. The following results were Women 98% CI for mu Men-mu Women 11.07. -0.3) TTest mun Men mu Women (vs e) T 252 P 00064 DF 128 (b) Identify the P-value and state the researchers conclusion if the level of signifcance was a 0001 What is the P-value? State the researchers conclusion Which of the following is correct? O A. Reject Ho there is not sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women O B. Fail to reject Ho, there is sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women O c. Fail to reject Ho, there is not sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women (c) What is the 98% confidence interval for the mean dilerence in pulse rates of men versus women? (Use ascending order Round to two decimal places as needed) Interpret this result. Click to select your answer(s)

Explanation / Answer

b)

From the output we have

p-value = 0.0064

Conclusion :

Since the p-value = 0.0064 is larger than the alpha = 0.001, thus we fail to reject the null hypothesis.

There is not sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women.

Therefore, the answer is option c.

c)

From the output we have,

The 98% confidence interval for the mean difference in pulse rates of men versus women is (-11.07, -0.33).

Thus, we are 98% confident that the mean difference is in the confidence interval.

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