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
