A fitness course claims that it can improve an individual's physical ability. To test the effect of a physical fitness course on one's physical ability, the number of sit-ups that a person could do in one minute, both before and after the course, was recorded. Ten individuals are randomly selected to participate in the course. The results are displayed in the following table. Can it be concluded, from the data, that participation in the physical fitness course resulted in significant improvement? Let d = (number of sit-ups that can be done after taking the course)-(number of sit-ups that can be done prior to taking the course) . Use a significance level of a = 0.01 for the test. Assume that the numbers of sit-ups are normally distributed for the population both before and after taking the fitness course. Sit-ups before 43 37 31 42 30 25 52 35 33 41 Sit-ups after 54 51 39 52 39 30 54 46 49 43 Copy Data Step 3 of 5: Compute the value of the test statistic. Round your answer to three decimal places. E Keypad Keyboard Shortcut Answer(How to Enter) 2 Points 曲 Tables

If we reject the Null Hypothesis then     the Test Statistic is outside the Critical Region and the Test Statistic is not significant     the Test Statistic is inside the Critical Region and is the Test Statistic is significant     the Test Statistic is inside the Critical Region and is the Test Statistic is not significant     the Test Statistic is outside the Critical Region and is the Test Statistic is significant

When a hypothesis test is being carried out, there are four different situations that can occur depending on the truthfulness of the null hypothesis. Type I error occurs when the following situation happen The null hypothesis is false, but we mistakenly fail to reject it. The null hypothesis is true, but we mistakenly reject it. The null hypothesis is false, and we reject it. The null hypothesis is true, and we fail to reject it.

1 - find the p-value 2 - reject or fail to reject null hypothesis?

When a result is not extreme enough to reject the null hypothesis, explain why it is wrong to conclude that your result supports the null hypothesis.

1- Type II error occurs when a false null hypothesis is not rejected Select one: True False

Provide an appropriate response. If we fail to reject the null hypothesis when the null hypothesis is false, then we have made a Type B error Type I error Correct decision Type II error

In a hypothesis test, a Type II error occurs when: a false null hypothesis is rejected O a true null hypothesis is not rejected O a false null hypothesis is not rejected O a true null hypothesis is rejected

If we do not reject the null hypothesis when the null hypothesis is in false, then we have made a

Which statement describes a Type II Error? Fail to reject the null hypothesis H0, when H0 is actually true Reject the null hypothesis H0, when H0 is actually true Fail to reject the null hypothesis H0, when H0H0 is false Reject the null hypothesis H0, when H0 is actually false