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Of six cars produced at a particular factory between 8 and 10 a.m. last Monday morning, test runs, revealed three of them to be "lemons." Nevertheless, three of the six cars were shipped to dealer A and the other three to dealer B. Dealer A received all three lemons. What is the probability of this event occurring if, in fact, the three cars shipped to dealer A were selected at random from the six produced?
Make your calculation supposing a two-sided two-sample t-test with a type I error (alpha) of 0.056
Quality Control A quality inspector checked for imperfections in rolls of fabric for one week. The random variable x represents the number of imperfections found.
Determine the mean and standard deviation of this distribution?
Make three-month and four-month moving averages for this time series. Does the three-month or four month moving average provide the better forecast? Explain.
Describe the standard normal distribution. Explain why it can be used to find probabilities for all normal distributions.
The City Transit Authority plans to hire 8 new bus drivers. From the group of 100 qualified applicants, of whom 55 are men and 45 are women, 8 names are to be selected by lot. Suppose that Mary and John Lewis are among the 100 qualified applicants..
Carry your intermediate computations to at least four decimal places. Round your answer to at least two decimal places.
Describe the distribution of the x-bars that you see in part b (shape of distribution, center, and the amount of dispersion).
Assume that the population means are to be estimated from the sample described below. Use the sample results to approximate the margin of error and 95% confidence interval
Provide a brief description of the main features of these data from the scatter plot and Describe why you would use performance as the predictor variable and performane related pay as the dependent variable in such a model.
Explain in detail what the optimum Neyman=Pearson test is for all values of the false alarm probability a in the open interval (0,1).
A hypothesis states a difference exists between two populations. Sometimes this is an obvious conclusion because the means will be very different.
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