Setting the alpha level at 0.001 instead of the usual 0.05 increases the likelihood of type...

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Setting the alpha level at 0.001 instead of the usual 0.05 increases the likelihood of type...

Setting the alpha level at 0.001 instead of the usual 0.05 increases the likelihood of

type II error

type I error

rejecting the null hypothesis

having a small n

math Statistics-And-Probability

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Answer 1

Answer #1

Reducing the alpha level from 0.05 to 0.001 reduces the chance of a false positive (called a Type I error) and hence increase the likelihood of type II error(the non-rejection of a false null hypothesis).

hence,option(A) type II error is correct.

please rate my answer and comment for doubts.

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Answer 2

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Setting the alpha level at 0.001 instead of the usual 0.05 increases the likelihood of type...

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Setting a small significance level (i.e., alpha = 0.05) protects against committing a Type II error....

If you decided to make the critical p-value or alpha for significance as 0.001 as opposed...

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Setting the alpha level at 0.001 instead of the usual 0.05 increases the likelihood of type...

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