  A physician wants to test if temperature has an effect on heart rate. In order to do this, she compares the heart rate in beats per minute of several random volunteers after a period of time in a room with a temperature of 50∘F and after a period of time in a room with a temperature of 75∘F. Suppose that data were collected for a random sample of 11 volunteers, where each difference is calculated by subtracting the heart rate in beats per minute in the 50∘F room from the heart rate in beats per minute in the 75∘F room. Assume that the populations are normally distributed. The test statistic is t≈5.627, α=0.05, the corresponding rejection regions are t<−2.228 and t>2.228, the null hypothesis is H0:μd=0, and the alternative hypothesis is Ha:μd≠0.Which of the following statements are accurate for this hypothesis test in order to evaluate the claim that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is significantly not equal to zero?Select all that apply: A) Reject the null hypothesis that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is equal to zero.B) Fail to reject the null hypothesis that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is equal to zero.C) Based on the results of the hypothesis test, there is not enough evidence at the α=0.05 level of significance to suggest that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is not equal to zero.D) Based on the results of the hypothesis test, there is enough evidence at the α=0.05 level of significance to suggest that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is not equal to zero.

Question

A physician wants to test if temperature has an effect on heart rate. In order to do this, she compares the heart rate in beats per minute of several random volunteers after a period of time in a room with a temperature of 50∘F and after a period of time in a room with a temperature of 75∘F. Suppose that data were collected for a random sample of 11 volunteers, where each difference is calculated by subtracting the heart rate in beats per minute in the 50∘F room from the heart rate in beats per minute in the 75∘F room. Assume that the populations are normally distributed. The test statistic is t≈5.627, α=0.05, the corresponding rejection regions are t<−2.228 and t>2.228, the null hypothesis is H0:μd=0, and the alternative hypothesis is Ha:μd≠0.

Which of the following statements are accurate for this hypothesis test in order to evaluate the claim that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is significantly not equal to zero?

Select all that apply:

A) Reject the null hypothesis that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is equal to zero.

B) Fail to reject the null hypothesis that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is equal to zero.

C) Based on the results of the hypothesis test, there is not enough evidence at the α=0.05 level of significance to suggest that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is not equal to zero.

D) Based on the results of the hypothesis test, there is enough evidence at the α=0.05 level of significance to suggest that the true mean difference between the heart rate in the 75∘F room and the heart rate in the 50∘F room is not equal to zero.

Step 1

In this question, it has been given,

Test Statistics = 5.627

Level of significance = 0.05

Rejection Region = t < −2.228 and t > 2.228

Step 2

We have to select the correct option out of given four.

Conclusion:

Since the Test Statistical Value lies in the critical region which means we have enough evidence to reject the null hypothesis. Which means based on our hypothesis t...

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