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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