Homework Answers
Type I error : Reject the null hypothesis , in fact it is true.
Type II error : Do not reject the null hypothesis , in fact it is false.
Claim : µ is different from 7.1
: µ equal
to 7.1 vs 
: µ not equal
to 7.1
Type I error :
Type I error is rejecting the hypothesis that µ equal to 7.1, when in fact µ equal to 7.1
Suppose BIG decides not to reject the null hypothesis , it be making type II error.
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