STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What is the Power of a test?
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A strong force
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The probability that we correctly reject a false null.
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The probability that we correctly accept a true null.
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How tough it is.
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Explanation:
Detailed explanation-1: -If the null hypothesis is false, then the probability of a Type II error is called (beta). The probability of correctly rejecting a false null hypothesis equals 1- and is called power.
Detailed explanation-2: -If the null is false and we reject it, then we made the correct decision. If the null hypothesis is true and we fail to reject it, then we made the correct decision.
Detailed explanation-3: -In null hypothesis testing, this criterion is called (alpha) and is almost always set to . 05. If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected.
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