Asked by tylenma russell on Sep 30, 2024
If a sample size is increased at a given α level,the probability of committing a Type II error is increased.
Type II Error
The error made when a false null hypothesis is not rejected.
Alpha Level
The threshold of significance in hypothesis testing, typically set at 0.05, indicating the probability of wrongly rejecting the null hypothesis.
- Acquire knowledge on the effects of Type I and Type II errors when testing hypotheses.
Learning Objectives
- Acquire knowledge on the effects of Type I and Type II errors when testing hypotheses.