SOLUTION: As type I error increases, type II error decreases. T or F, and why or why not? Answer �True� if the statement is always true. If the statement is not always true, replace the

Question 1065574: As type I error increases, type II error decreases. T or F, and why or why not?
Answer �True� if the statement is always true. If the statement is not always true, replace the underlined words with words that make the statement always true.
Rejection of a null hypothesis that is false is a Type II error.

Found 2 solutions by stanbon, Boreal:
Answer by stanbon(75887) (Show Source): You can put this solution on YOUR website!
As type I error increases, type II error decreases. T or F, and why or why not?
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True.
Answer �True� if the statement is always true. If the statement is not always true, replace the underlined words with words that make the statement always true.
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Rejection of a null hypothesis that is false is a Type II error.
Answer: False ; that is a Type I error.
Cheers,
Stan H.
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Answer by Boreal(15235) (Show Source): You can put this solution on YOUR website!
True, although it is not linear, but is a function of sample size as well. But the two are inversely related.
False: accepting a false null hypothesis is a Type II error.

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