Unformatted text preview: 90.6, for which the P-value will be large. 5. (a) H says that the claim is true. Therefore H is true, so rejecting it is a type I error. (b) Correct decision. H is false and was rejected. (c) Correct decision. H is true and was not rejected. (d) Type II error. H is false and was not rejected. 7. The 1% level. The error in question is rejecting H when true, which is a type I error. When the level is smaller, it is less likely to reject H , and thus less likely to make a type I error. Section 6.13 1. (a) True. This is the definition of power. (b) True. When H is false, making a correct decision means rejecting H . (c) False. The power is 0.90, not 0.10. (d) False. The power is not the probability that H is true....
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- Fall '11
- Statistics, Null hypothesis, Statistical hypothesis testing, Type I and type II errors, rejection region