What is a Type I error in hypothesis testing?
Understand the Problem
The question is asking for the definition of a Type I error in hypothesis testing, specifically which of the given options correctly describes this type of error.
Answer
A Type I error is rejecting a true null hypothesis.
A Type I error in hypothesis testing is when the null hypothesis is rejected even though it is actually true.
Answer for screen readers
A Type I error in hypothesis testing is when the null hypothesis is rejected even though it is actually true.
More Information
Type I errors are also known as false positives because they indicate a discovery or effect where there is none. The likelihood of making a Type I error is denoted by the significance level, usually represented by alpha (α).
Tips
A common mistake is confusing Type I and Type II errors; remember, Type I is a 'false positive' and Type II is a 'false negative'.
Sources
- Type I & Type II Errors | Differences, Examples, Visualizations - Scribbr - scribbr.com
- Type I and Type II errors - Wikipedia - en.wikipedia.org
- Type I Error - Numeracy, Maths and Statistics - Academic Skills Kit - ncl.ac.uk
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