Asked by Gurwinder Bhullar on May 28, 2024
Verified
The power of the test refers to the probability of rejecting a false null hypothesis.
Test Power
The probability that a statistical test will correctly reject the null hypothesis when it is false, indicating a test's effectiveness.
False Null Hypothesis
Incorrect rejection of a true null hypothesis, often referred to as a Type I error in statistical hypothesis testing.
- Familiarize oneself with the delineation, numerical evaluation, and interpretive analysis of a test's power and its relationship to Type II errors.
Verified Answer
NA
Nawaf AhmadMay 30, 2024
Final Answer :
True
Explanation :
The power of a test is the probability of correctly rejecting a false null hypothesis. It is the ability of the test to detect a true difference or effect, and to avoid a Type II error (failing to reject a false null hypothesis).
Learning Objectives
- Familiarize oneself with the delineation, numerical evaluation, and interpretive analysis of a test's power and its relationship to Type II errors.