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Type I Error

Definition

Type I error refers to rejecting a true null hypothesis. It occurs when we conclude there is a significant difference or relationship between variables when there actually isn't one.

Related terms

Type II Error: Type II error occurs when we fail to reject a false null hypothesis.

Power: Power is the probability of correctly rejecting a false null hypothesis.

Hypothesis Testing: Hypothesis testing is a statistical method used to make inferences about population parameters based on sample data.

"Type I Error" appears in:

Study guides (3)

AP Statistics - 6.7 Potential Errors When Performing Tests
AP Statistics - 7.1 Introducing Statistics: Should I Worry About Error?
AP Statistics - 7.9 Carrying Out a Test for the Difference of Two Population Means

Additional resources (2)

AP Statistics - What Are the Best Quizlet Decks for AP Statistics?
AP Statistics - 2024 AP Statistics Exam Guide

Practice Questions (5)

In hypothesis testing, if the significance level is set at 0.05, what is the probability of a Type I error?
What is the consequence of a Type I error?
What is a type I error also known as?
What is a Type I error?
What is the probability of making a Type I error if the alpha level is 0.10?

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