Unformatted text preview: 11. (a) (ii) The scale is out of calibration. If H is rejected, we conclude that H is false, so μ 10. (b) (iii) The scale might be in calibration. If H is not rejected, we conclude that H is plausible, so μ might be equal to 10. (c) No. The scale is in calibration only if μ 10. The strongest evidence in favor of this hypothesis would occur if X 10. But since there is uncertainty in X , we cannot be sure even then that μ 10. 13. No, she cannot conclude that the null hypothesis is true, only that it is plausible. 15. (i) H : μ 1 2. For either of the other two hypotheses, the Pvalue would be 0.025. 17. (a) Yes. The value 3.5 is greater than the upper confidence bound of 3.45. Quantities greater than the upper confidence bound will have Pvalues less than 0.05. Therefore P 05. (b) No, we would need to know the 99% upper confidence bound to determine whether P 01....
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 Fall '11
 MattGilg
 Statistics, Null hypothesis, Statistical hypothesis testing, 1%, H0, 2%

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