What happens to the type I and type II errors as the sample size becomes larger and larger?
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Originally Posted by timk19 What happens to the type I and type II errors as the sample size becomes larger and larger? Do you know the definition of a Type I error and a Type II error?
type I errors occur when a false occurs, type II errors occur when a false negative occurs. Right?
Originally Posted by timk19 type I errors occur when a false occurs, type II errors occur when a false negative occurs. Right? Pr(Type I error) = Pr(reject H0 | H0 is true). Pr(Type II error) = Pr(accept H0 | H1 is true). Think about what happens to these two probabilities as $\displaystyle n_{\text{sample}} \rightarrow n_{\text{population}}$.
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