METHODS OF DATA ANALYSIS
DECISION MAKING WITH HYPOTHESIS TESTING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It occurs if you reject the null hypothesis when it is true.
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Type I error
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Type II error
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type II error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.
Detailed explanation-2: -Type I error is the probability of rejecting the null when it is true is TRUE. A type I error is also known as the error of false rejection. That is, when a type I error occurs, the statistician incorrectly rejects the null hypothesis even though it is true.
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