Asked by Magnus Sherpa on Sep 30, 2024
We cannot commit a Type I error when the:
A) null hypothesis is true.
B) level of significance is 0.10.
C) null hypothesis is false.
D) test is a two-tail test.
Type I Error
A Type I error occurs when a true null hypothesis is incorrectly rejected, often denoted as a false positive in hypothesis testing.
Null Hypothesis
A statement used in statistics that proposes there is no significant difference or effect.
Level of Significance
The threshold at which the null hypothesis is rejected in favor of the alternative hypothesis in statistical testing, indicating the probability of making a Type I error.
- Familiarize yourself with the definitions and ramifications of Type I and Type II errors during hypothesis testing.
Learning Objectives
- Familiarize yourself with the definitions and ramifications of Type I and Type II errors during hypothesis testing.