The null hypothesis has been true but the sample information has resulted in the rejection, when the Type I error has been made
The null hypothesis is that two possibilities are the same. The null hypothesis is that the observed difference is due to chance alone.
A type I error occurs if an investigator rejects a null hypothesis that is actually true in the population.
Hence, the null hypothesis has been true but the sample information has resulted in the rejection, when the Type I error has been made
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