Asked by Payton Landre on Jul 05, 2024
Verified
The main concern with lowering the probability of making a type II error is that it ______.
A) increases the probability of making a type I error
B) decreases the probability of making a type II error
C) changes the effect size
D) decreases the likelihood of finding effects when they in fact do not exist
Type II Error
An error that occurs when a statistical test fails to reject a false null hypothesis, indicating a missed opportunity to detect an actual effect or difference.
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive".
Effect Size
A quantitative measure of the magnitude of the difference between groups or the strength of the relationship between variables in a statistical analysis.
- Specify measures to cut down on Type I and Type II errors.
- Acquire knowledge on the idea of statistical power and its relevance to hypothesis testing.
Verified Answer
Learning Objectives
- Specify measures to cut down on Type I and Type II errors.
- Acquire knowledge on the idea of statistical power and its relevance to hypothesis testing.
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