Asked by anima neupane on Sep 30, 2024
For a given level of significance α,if the sample size n is increased,the probability of a Type II error β will:
A) decrease.
B) increase.
C) remain the same.
D) Not enough information to tell.
Type II Error
The mistake of failing to reject a false null hypothesis, also known as a "false negative" finding in statistical tests.
Sample Size
The number of observations or replicates included in a statistical sample, which directly impacts the validity and accuracy of an analysis.
Level of Significance
Represents the critical value that delineates the boundary for rejecting the null hypothesis in hypothesis testing.
- Learn about the correlation between the size of the sample, the level of significance, and the power inherent in a test.
Learning Objectives
- Learn about the correlation between the size of the sample, the level of significance, and the power inherent in a test.