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Question 1:
Simulate a completely random process of length 48 with independent, normal values. Plot the time series plot. Does it look "random"? Repeat this exercise several times with a new simulation each time.
Question 2:
Simulate a completely random process of length 48 with independent, t-distributed values each with 5 degrees of freedom. Construct the time series plot. Does it look "random" and nonnormal? Repeat this exercise several times with a new simulation each time.
A banks loan officer rates applicants for credit. The ratings are causally distributed with a mean of 200 also a standard deflation of 50.
The ACT is an exam used by colleges and universities to evaluate undergraduate applicants. The test scores are normally distributed. In a recent year, the mean test score was 21.1 and the standard deviation was 5.0.
Suppose that it is a presidential election year and Ohio is one of the 'swing' states. Your polling company wants to conduct a presidential preference poll of the citizens of Ohio to predict which candidate will win the election.
How much of the variation in the dependent variable would be explained by the independent variable in this situation? Use job satisfaction and employee turnover as the variables for this problem.
Determine the mean and the standard deviation of the sample.
A state meat inspector in lowa has been given the assignment of estimating the mean net weight of packages of ground chuck labeled " 3 pounds." Of course, he realizes that the weights cannot be precisely 3 pounds.
Critically discuss the difference between the standard deviation of the sampling distribution of the mean and the standard deviation of the sampling distribution of the median when we calculate the probability?
Do you know if there is any differences in the densities of a product at certain temperatures. Here is the data that I received. Tell me if there is any difference.
Determine the probability the transmission will break down between 100,000 and 200,000 miles?
By using the 0.10 level of significance, is there evidence that the population mean is above the $300?
Which of the following best explains how the F ratio examines differences among groups? A. The critical F is compared to the critical t.
Let p1 = 100 and n1 = 500; and p2 = 200 with n2 = 500. Test whether there is a statistical difference between the two proportions at the 5% significance level.
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