2. True or false. A p-value shows the likelihood of proving the null hypothesis.

True False

3. True or false. Randomization distributions are centered at the value where the null is true.

True False

4. True or false. Randomization distributions show the possible sample statistics we could obtain if the alternative hypothesis was true.

True False

5. True or false. A Type II Error occurs when we reject a true null hypothesis.

True False

6. True or false. The significance level, , represents the tolerable probability of making a Type I Error

True False

7. True or false. It is easier to obtain a statistically significant finding with a smaller sample size.

True False

8. True or false. Publication bias refers to bias present when we sample from a population that only contains individuals who have published academic articles.

True False

9. A hypothesis test yields a p-value of 0.06. Is this a statistically significant finding at:

a. = 0.1?

b. = 0.05?

c. = 0.01?

10. A hypothesis test yields a p-value of 0.02. Is this statistically significant finding at:

a. = 0.1?

b. = 0.05?

c. = 0.01?

11. A hypothesis test yields a p-value of 0.13. Is this statistically significant at:

a. = 0.1?

b. = 0.05?

c. = 0.01?

12. At which of the following alpha levels is it most likely that researchers will commit a Type I Error?

a. = 0.1 b. = 0.05 c. 0.01 d. = 0.001