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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The greater the difference between the Ho claim and the true value of the population parameter,
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The smaller the risk of a Type II error and the smaller the power
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The smaller the risk of a Type II error and the greater the power
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The greater the risk of a Type II error and the smaller the power
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The greater the probability of no charge in Type II error or in power
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Explanation:
Detailed explanation-1: -A TYPE II Error occurs when we fail to Reject Ho when, in fact, Ho is False. In this case we fail to reject a false null hypothesis.
Detailed explanation-2: -Power (1-): the probability correctly rejecting the null hypothesis (when the null hypothesis isn’t true). Type II error (): the probability of failing to rejecting the null hypothesis (when the null hypothesis is not true).
There is 1 question to complete.