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 statements is/are correct?
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The power of a significance test depends on the effect size.
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The probability of a Type II error is equal to the significance level of the test.
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Error probabilities can be expressed only when a significance level has been specified.
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None of the above
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Explanation:
Detailed explanation-1: -Level of significance is the “highest value” of the probability value for which the “null hypothesis” is rejected. “Type I error” is the probability of rejecting the null hypothesis when it’s true. Hence, level of significance is the “maximum allowable probability” of Type I error.
Detailed explanation-2: -The significance level, also denoted as alpha or , is the probability of rejecting the null hypothesis when it is true.
There is 1 question to complete.