Asked by Zakary Capote on Sep 29, 2024
A Type I error is represented by α; it is the probability of rejecting a true null hypothesis.
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive".
True Null Hypothesis
The hypothesis that there is no effect or no difference, and it truly reflects the reality in the population sampled.
Rejecting
In statistics, it often refers to the act of discarding the null hypothesis based on the evidence of a test.
- Understand thoroughly the explanations and repercussions of Type I and Type II errors in the framework of assessing hypotheses.
Learning Objectives
- Understand thoroughly the explanations and repercussions of Type I and Type II errors in the framework of assessing hypotheses.