Asked by Mommoko Yamada on Sep 30, 2024
The power of a test is the probability that a true null hypothesis will be rejected.
Power of a Test
The probability that a statistical test will correctly reject a false null hypothesis; a measure of a test's ability to detect an effect when there is one.
Null Hypothesis
A statement used in statistics that proposes there is no significant difference or effect, and any observed difference is due to sampling or experimental error.
Probability
A gauge for predicting the chance that an event will happen, expressed in numbers that fall within 0 and 1.
- Apprehend the ramifications of Type I and Type II errors in the context of hypothesis testing.
Learning Objectives
- Apprehend the ramifications of Type I and Type II errors in the context of hypothesis testing.