The higher the likelihood of rejecting the null hypothesis when the null hypothe
ID: 2946126 • Letter: T
Question
The higher the likelihood of rejecting the null hypothesis when the null hypothesis really should be rejected, then
the higher becomes the value of the beta error
the less powerful the statistical test
the more powerful the statistical test
none of these, since rejecting the null hypothesis is not related to either power or error
the higher becomes the value of the beta error
the less powerful the statistical test
the more powerful the statistical test
none of these, since rejecting the null hypothesis is not related to either power or error
Explanation / Answer
The power is the probability of rejecting the Null Hypothesis given it is not true.Hence if the Null hypothesis is not true i.e it should be rejected then higher probability(likelihood) of rejecting the Null hypothesis will increase the power.Hence the test will be more powerful and so Option 3 is correct.
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