1- A p-value is the probability that you will commit a Type II error as a testing outcome. True or False?

2- How is it possible to reduce the chances of a Type I and Type II error at the same time?

3- An alpha of .05 for a one-tailed large-sample test gives a Z of

4- In this course, it is unnecessary to specify both a null and an alternative hypothesis. True or False?

5- A stated confidence level is actually specifying our confidence in the procedure and not in any particular test. True or False?

6- The basic parts of an ANOVA are (choose all that are correct)”

• Between groups variance
• Within groups variance
• Relevant groups variance
• None of these

7- The F statistic is calculated by (Variability Within Treatments/Variability Between Treatments) True or False?

8- Higher F values indicate a worse probability of significance. Lower values are better.  True or False?

9- The assumptions for ANOVA validity are (select all that are correct)

• Random sampling
• Probability distributions are normal
• Data for all groups is in the same unit
• The means between groups must be between +/- 2 standard deviations