Type I and II errors

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A study is conducted to determine if the patients who have one glass of wine each day have a reduced risk of heart attacks.

Which statement describes a type I error and which statement describes a type II error?

A) The study correctly concludes that the patients who have one glass of wine each day have a reduced risk of heart attacks.
B) The study incorrectly concludes that the patients who have one glass of wine each day have a reduced risk of heart attacks.
C) The study correctly concludes that the patients who have one glass of wine each day do not have a reduced risk of heart attacks.
D) The study incorrectly concludes that the patients who have one glass of wine each day do not have a reduced risk of heart attacks.

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@rntlm,

http://en.wikipedia.org/wiki/Type_I_and_type_II_errors

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@markr,

I have already been on multiple internet sites to figure this out, including the one you provided the link to. I still don't understand this question.

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@rntlm,

Null hypothesis: A glass of wine each day does not reduce the risk of heart attacks.

Type I error (incorrect rejection of a true null hypothesis): B because there is no reduction of risk (true null hypothesis), but the study incorrectly concluded that there is a reduction (incorrect rejection).

Type 2 error (failure to reject a false null hypothesis): D because there is a reduction of risk (false null hypothesis), but the study incorrectly concluded that that there no reduction (incorrect failure to reject).

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@markr,

Thank you, thank you, thank you! I had figured out the Type I, but couldn't get a grasp of the Type II. It was a sample test question I already had the answers to, I just didn't understand it.

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Type I and II errors

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