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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A Type II error is the error of
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accepting Ho when it is false
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accepting Ho when it is true
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rejecting Ho when it is false
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rejecting Ho when it is true
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Explanation:
Detailed explanation-1: -A Type II error can be contrasted with a type I error is the rejection of a true null hypothesis, whereas a type II error describes the error that occurs when one fails to reject a null hypothesis that is actually false. The error rejects the alternative hypothesis, even though it does not occur due to chance.
Detailed explanation-2: -A type II error occurs when a false null hypothesis is accepted, also known as a false negative. This error rejects the alternative hypothesis, even though it is not a chance occurence.
Detailed explanation-3: -2) Type-II Error In a hypothesis test, a Type-II error occurs when the null hypothesis, H0, is not rejected when it is in fact false.
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