3.8.C—Identify the factors that affect the probability of errors in hypothesis testing

Identify the factors that affect the probability of errors in hypothesis testing.

• For a given study and hypothesis test, the probability of a Type II error should ideally be small, and thus, the power will be large (e.g., P Type II error 02. 0 and power0 .80). The probability of a Type II error decreases and the power increases when any one of the following occurs, provided the others do not change:
  • i. Sample size(s) increases.
  • ii. Standard error decreases.
  • iii. True parameter value is farther from the null hypothesis.
  • iv. Significance level of a test increases.