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Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive".
True Null Hypothesis
The hypothesis that there is no effect or no difference, and it truly reflects the reality in the population sampled.
Rejecting
In statistics, it often refers to the act of discarding the null hypothesis based on the evidence of a test.
Type I Error
A Type I error occurs when a true null hypothesis is incorrectly rejected, often denoted as a false positive in hypothesis testing.
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