1. If we fail to reject the null when the null is false what type of error was made? Type II

2. What is the probability computed assuming the null hypothesis is true? P-value

3. The alternative hypothesis is ________________ if it states the parameter is less than the null value. One-sided

4. If the p-value is less than alpha we say that the data is ___________________ Statistically significant at alpha

5. If we reject the null when the null is true what type of error was made? Type I

6. What is the P(Type II error) if the power of a test is.85..15

7. You use a t-test when you have…? Population mean

8. If the p-value is larger than alpha we… Fail to reject

9. What has to be included in the “state” stage of hypothesis testing Hypotheses, parameter of interest, Significance level

10. What is the claim tested by a statistical test? Null hypothesis

11. If we fail to reject the null when the null is false what type of error was made? Type II

12. What is the claim about a population that we are trying to find evidence for? Alternative hypothesis

13. If we fail to reject the null when the null is false what type of error was made? Type II

14. How do you know a set of data is normal for a t- test? n>30

15. What is the P(type I error)? alpha

16. reject

17. What is the p-value for a two sided test given t=2.045 with df=29 0.05

18. The manager of a fast-food restaurant want to reduce the proportion of drive-through customers who have to wait more than 2 minutes to receive their food once their order is placed. Based on store records, the proportion of customers who had to wait at least 2 minutes was p = 0.63. To reduce this proportion, the manager assigns an additional employee to assist with drive-through orders. During the next month the manager will collect a random sample of drive-through times and test the following hypotheses: : p = 0.63 : p < 0.63 where p = the true proportion of drive-through customers who have to wait more than 2 minutes after their order is placed to receive their food. Problem: Describe a Type I and a Type II error in this setting and explain the consequences of each.