If while conducting a hypothesis test you reject the null hypothesis when in fact it was true, you would have made a
Type I error.
Explanation:
There exists two types of errors that one can make while doing hypothesis testing. the definitions of those two types of errors are as follows:
Type I error :
Rejecting the null hypothesis when it was originally true.
Type II error :
Accepting the null hypothesis when it was originally false .
The given question is talking about rejecting a null hypothesis when it was originally true. Hence, it will be a Type I error if I reject a null hypothesis when in fact it was true.
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