Define Type I (alpha) error and Type II (beta) error. Recognize examples of each one.
Describe factors that affect the probability of Type I and Type II errors.
Define the power of a test and describe factors that affect power. Given the relevant information about two tests, decide which one has more power.
Explain the difference between statistical and practical significance.