Asked by Umair Malik on Sep 30, 2024
For a given level of significance,if the sample size increases,the probability of a Type II error will:
A) remain the same.
B) increase.
C) decrease.
D) be equal to 1.0 regardless of α.
Type II Error
The statistical error that occurs when a test fails to reject a false null hypothesis, also known as a "false negative."
Sample Size
Refers to the number of observations or data points collected in a sample from a population for the purpose of statistical analysis.
Level of Significance
The threshold chosen by the researcher which determines the probability at which the null hypothesis will be rejected, often denoted by alpha (α).
- Absorb the concept regarding how the magnitude of the sample, significance criteria, and the robustness of a test are related.
Learning Objectives
- Absorb the concept regarding how the magnitude of the sample, significance criteria, and the robustness of a test are related.