Asked by Kevin Picard on Jun 08, 2024
Verified
The power of a statistical test, denoted by 1 
, is the probability of rejecting a false null hypothesis.
Statistical Test
A method of making decisions or inferences about population parameters based on sample data, often involving a comparison between an observed test statistic and a critical value.
Power
The probability that a statistical test will correctly reject a false null hypothesis; it measures a test's sensitivity to detect an effect if there is one.
Null Hypothesis
A hypothesis that proposes there is no significant difference or effect, and any observed difference is due to sampling or experimental error.
- Identify the differences between Type I and Type II errors and apprehend their significance in hypothesis assessment.
Verified Answer
ML
McClain LasterJun 13, 2024
Final Answer :
True
Explanation :
The power of a statistical test is indeed the probability of rejecting a false null hypothesis.
Learning Objectives
- Identify the differences between Type I and Type II errors and apprehend their significance in hypothesis assessment.