Is P value Type I error in hypothesis testing?I'm confused about the interpretation of P value in hypothesis testing. I know that we set significance level as 0.05 which is the threshold we set for this test so that it won't suffer from Type I error by 5%.And we are comparing P to significance level, does it mean P is the probability of making type I error based on the sample?

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Is P value Type I error in hypothesis testing?I&#039;m confused about the interpretation of P value in hypothesis testing. I know that we set significance level as 0.05 which is the threshold we set for this test so that it won&#039;t suffer from Type I error by 5%.And we are comparing P to significance level, does it mean P is the probability of making type I error based on the sample?

Amadek6 · Accepted Answer

now not quite. The p-value is calculated primarily based at the statistics we without a doubt found - it is our degree of how &quot;uncommon&quot; the records is, assuming that the null hypothesis is authentic (which typically corresponds to &quot;nothing bizarre is occurring&quot; or &quot;the effect we&#039;re seeking to pick out isn&#039;t present&quot; or some thing comparable).the edge that we set, regularly written as alpha, wherein we decide that the p-price is satisfactorily &quot;bizarre&quot; to depend as proof in opposition to the null hypothesis, is then our chance of a type I errors - it&#039;s the possibility that, in a universe in which the null hypothesis is authentic, we get information so weird that we assume it is false.

Chelsea Pruitt · Accepted Answer

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