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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Which of the following accurately describes the power of a statistical test of hypothesis?
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It is equal to the p-value.
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It is equal to 1-(p-value).
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It is equal to the significance level.
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It is the probability that a test using a fixed value of
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Explanation:
Detailed explanation-1: -Statistical power: the likelihood that a test will detect an effect of a certain size if there is one, usually set at 80% or higher. Sample size: the minimum number of observations needed to observe an effect of a certain size with a given power level.
Detailed explanation-2: -Statistical power is the probability of observing a statistically significant result at level alpha () if a true effect of a certain magnitude is present. It allows you to detect a difference between test variations when a difference actually exists.
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