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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Type I error
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Type II error
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Level of significance
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Null
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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: -How to Calculate the Probability of a Type II Error for a Specific Significance Test when Given the Power. Step 1: Identify the given power value. Step 2: Use the formula 1-Power = P(Type II Error) to calculate the probability of the Type II Error.
Detailed explanation-3: -So if the null hypothesis is actually true, Then it is impossible to commit a Type two error. And so the probability Of making a Type two error in this situation then is zero.