Understanding Type I and Type II Errors
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چکیده
• Type I error, also known as a “false positive”: the error of rejecting a null hypothesis when it is actually true. In other words, this is the error of accepting an alternative hypothesis (the real hypothesis of interest) when the results can be attributed to chance. Plainly speaking, it occurs when we are observing a difference when in truth there is none (or more specifically no statistically significant difference). So the probability of making a type I error in a test with rejection region R is 0 ( | is true) P R H .
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