HW#11 - HW#11 E1(a The way the manufacturer set up the...

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HW#11 Nov 20, 2006 E1) (a) The way the manufacturer set up the hypothesis test put the burden of proof on the MPG being less than 30, when the burden of proof should really be on it being greater than or equal to 30. (b) Given that the average of the sample data was itself less than 30, it is wrong to claim that the true mean is greater than 30 with a reasonable level of confidence. E2) This conclusion is based on the fact that in the real world nothing can be determined with 100% confidence. However, they are incorrect stating that statisticians are wrong 5% of the time because that 5% is accounted for in a 95% confidence interval. E3) Statistical significance measures unlikeliness that deviations from mean are due to coincidence, whereas practical significance asks if the differences are large enough to be practical. For example, a sample average of 101 for many observations would yield a very small p-value based on a presumed true mean of 100. However, the difference may not be significant in practical terms and one may not wish to reject such small deviations. 44)
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This note was uploaded on 03/31/2008 for the course CEE 3040 taught by Professor Stedinger during the Fall '08 term at Cornell.

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HW#11 - HW#11 E1(a The way the manufacturer set up the...

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