Define and graphically represent a type1 error and atype 2 error
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3 types of error :
Personal error
Random error
Instrumental error
Systematic error
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It is used within the context of hypothesis testing. In statistical analysis, a type I error is the rejection of a true null hypothesis, whereas type II errordescribes the error that occurs when one fails to reject a null hypothesis that is actually false. In other words, it produces a false positive.
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