When analyzing the logic behind hypothesis testing, which of the following would result in a Type I error?
Understand the Problem
The question is asking which option describes an action that leads to a Type I error in hypothesis testing, which is a fundamental concept in research methodology.
Answer
A. Rejecting the null hypothesis when it is true.
The final answer is A. Rejecting the null hypothesis when it is true.
Answer for screen readers
The final answer is A. Rejecting the null hypothesis when it is true.
More Information
A Type I error occurs when the null hypothesis, which is actually true, is incorrectly rejected. This is also known as a false positive.
Tips
A common mistake is confusing Type I and Type II errors. Remember that a Type I error is about rejecting a true null hypothesis.
Sources
- Type I and type II errors - Wikipedia - en.wikipedia.org
- Type I & Type II Errors | Differences, Examples, Visualizations - Scribbr - scribbr.com
- A type I error is often called a false positive - Investopedia - investopedia.com
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