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.
Analogy
Imagine you're studying for exams and decide not to take any breaks because you believe breaks will negatively impact your performance. However, breaks might actually help you retain information better. This is similar to a Type I error, where you reject the null hypothesis (taking breaks has no effect) when it's actually true.
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)
Additional resources (2)
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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