Type I error with example

Question

13 Jul 2023

Answer :

Word Count : 460

In statistics and hypothesis testing, a Type I error, also known as a false positive, occurs when a null hypothesis that is actually true is incorrectly rejected. In other words, it happens when we conclude that there is a significant effect or relationship between variables when, in reality, there is no such effect or relationship.

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