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Unformatted text preview: a distribution for which the CLT applies. Find , P(Type I error) What are some ways to reduce ? x 6 Example Part (2) Suppose it is important to reject the null hypothesis when >52 or <48. Let the alternate hypothesis, H 1 : = 52 Find , P(Type II error) What affects the size of ? 7 Interlude Type I error can be directly controlled: rejecting the null hypothesis is a strong conclusion . Type II error depends on sample size and the extent to which the null hypothesis is false: accepting the null hypothesis is a weak conclusion . The power of a test is the probability of rejecting the null hypothesis when the alternative hypothesis is true, i.e., 1 . The Pvalue is the smallest level of significance that would lead to rejection of the null hypothesis....
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This note was uploaded on 05/05/2008 for the course IE 121 taught by Professor Perevalov during the Spring '08 term at Lehigh University .
 Spring '08
 Perevalov

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