Asked by karla marla on Sep 29, 2024
A Type II error is represented by α; it is the probability of rejecting a true null hypothesis.
Type II Error
The error that occurs when a statistical test fails to reject a false null hypothesis; also known as a "false negative."
True Null Hypothesis
The assumption or premise that there is no effect, difference, or relationship between the variables being studied, which might be rejected or not rejected based on statistical analysis.
Rejecting
In statistical hypothesis testing, the act of concluding that the null hypothesis is unlikely given the data, often signaled by a test statistic that falls outside a specified significance level.
- Distinguish the symbols (α and β) that denote the probabilities of Type I and Type II errors, in that order.
Learning Objectives
- Distinguish the symbols (α and β) that denote the probabilities of Type I and Type II errors, in that order.