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Suppose that a random sample of 800 early replacement buyers yields a mean number of dealers visited of 1 = 3.3, and that a random sample of 500 late replacement buyers yields a mean number of dealers visited of 2= 4.5. Assuming that these samples are independent: (a) Let 1 be the mean number of dealers visited by early replacement buyers, and let 2 be the mean number of dealers visited by late replacement buyers. Calculate a 95 percent confidence interval for 2 - 1. Assume here that 1 = .71 and 2 = .66.
In exercise identify (a) sample and (b) population. Also, find whether sample is likely to be representative of population.
Determine the mean and standard error of the x - bar distribution.
Confirm that these statements are accurate by finding the geometric mean rate of increase.
Why is effective sampling important when performing a hypothesis test? What could happen if your sample is not appropriate to your study?
Elucidate this data use an appropriate statistical test to explain whether the population mean TV "on" time has declined in the past decade.
Would it be reasonable to conclude that the population distribution is Poisson with a mean of 2.0?
Suppose that 10 years ago the average annual expense for stock funds was 1.19 percent. Let µ be the current mean annual expense for all stock funds, and assume that stock fund annual expenses are approximately normally distributed.
She has a history of being successful at getting a donor on 55 percent of her calls. If June has a quota to get at least four donors each day.
Find out the range of the following set of whole numbers: 12, 13, 15, 17, 12, 18, 12, 19, 13, 12, 14, 13, 12, 15
N=120, population standard deviation is (known) 5, alpha =.05, standard error of the mean (sigma of xbar)= .46, h0 is rejected if xbar
Otherwise you lose $1. If you make this wager very many times, what will be the mean outcome?
Assume that preparation D was a placebo. Use the Scheffe's procedure to compare the average response of A, B, C, and E to the response for D.
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