Asked by Michael Kassim on Sep 30, 2024
There is a direct relationship between the power of a test and the probability of a Type II error.
Power of Test
Refers to the probability that the test correctly rejects the null hypothesis when the alternative hypothesis is true.
Type II Error
The error made when a statistical test fails to reject a false null hypothesis, also known as a false negative outcome.
- Acquire comprehension on the encapsulation, numerical operation, and evaluative understanding of a test's power relative to Type II errors.
Learning Objectives
- Acquire comprehension on the encapsulation, numerical operation, and evaluative understanding of a test's power relative to Type II errors.