# P value conclusion confidence interval interpret result statistics homework help

A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 57 men and 74 women to participate in the study. Each subject was required to step up and down aâ€‹ 6-inch platform. The pulse of each subject was then recorded. The following results were obtained.

Two sample T for Men vs Women

N           Mean       StDev        SE Mean

Men       57          112.4      11.2              1.5

Women  74         118.5       14.1              1.6

99% Cl for mu Men – mu Women

( – 11.95, -0.25)

T-Test mu Men = mu Women (vs <)

T = -2.76  = 0.0033 DF = 128

This is the null and alternative hypotheses.

H0â€‹: Î¼1 = Î¼2â€‹; Haâ€‹: Î¼1 < Î¼2

Identify theâ€‹ P-value and state theâ€‹ researcher’s conclusion if the level of significance was alphaÎ±equals=0.01 What is theâ€‹ P-value?

P-value = ___

State the researcher’s conclusion. Which of the following is correct?

A) Fail to reject H0â€‹, there is not sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women

B) Reject H0â€‹, there is not sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women

C) Reject H0â€‹, there is sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women

D) Fail to reject H0â€‹, there is sufficient evidence to conclude that the mean step pulse of men was less than the mean step pulse of women

What is the 99% confidence interval for the mean difference in pulse rates of men versus women?

(__ , __) (Use ascending order. Round to two decimal places as needed.)

Interpret this result.

â€‹A) 99% percent of the time the means are in the confidence interval.

B) 99â€‹% percent of the time the mean difference is in the confidence interval.

C)We are 99â€‹% confident that the mean difference is in the confidence interval.

D) We are 99â€‹% confident that the means are in the confidence interval.