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)
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)