I error and II error

[logistic_guy]

Suppose that an allergist wishes to test the hypothesis that at least \(\displaystyle 30\%\) of the public is allergic to some cheese products. Explain how the allergist could commit

\(\displaystyle \bold{(a)}\) a type \(\displaystyle \text{I}\) error
\(\displaystyle \bold{(b)}\) a type \(\displaystyle \text{II}\) error

 

[khansaheb]

Suppose that an allergist wishes to test the hypothesis that at least \(\displaystyle 30\%\) of the public is allergic to some cheese products. Explain how the allergist could commit

\(\displaystyle \bold{(a)}\) a type \(\displaystyle \text{I}\) error
\(\displaystyle \bold{(b)}\) a type \(\displaystyle \text{II}\) error

Please define Type I and Type II errors

Please show us what you have tried and exactly where you are stuck.

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[Agent Smith]

a) Type I error: Less than 30% allergic, but the data shows >= 30% allergic

b) Type II error: At least 30% allergic, but data shows less than 30% allergic.