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A sample of size 120 had a sample mean of 100 and a sample standard deviation of 15. Of these 120 data values, 3 were less than 70; 18 were between 70 and 85; 30 were between 85 and 100; 35 were between 100 and 115; 32 were between 115 and 130; and 2 were greater than 130. Test the hypothesis that the sample distribution was normal.
suppose we are testing the null hypothesis ho20 and the alternative ha does not 20 for a normal population with a
suppose 80 of the college football fans root for the home team. if 400 fans who attended a college football game last
Multiple choice question using Forecasting techniques. Which among of the following models are best suited to forecast a time series with a stable seasonality component.
What are the main drivers of uk banks' profitability? what are the implications of increased concentration in the uk banking market? what were the main recommendations of the cruickshank report and how did the industry respond?
A survey on household income in Northeast NJ area gave the following numbers in thousands of dollars:
The counts in the five groups are 113, 95, 108, 99, and 85, respectively. The probabilities for these five intervals are all the same. What is this probability?
What should the pass mark be set at if 15% are to fail? If the examiner wishes to grant the top 20% A's, what should be the cut-off mark for an A?
Population standard deviation of 5 and you select a sample size of 100, what is the probability that the sample mean is between 47 and 49.5?
Give an example of a polynomial with degree 3 such that when factored, it contains the two factors (x+5) and (2x-1), i.e., the polynomial looks like (x+5)(2x-1)(?).
Determine the optimum mix of products in terms of maximizing contributions to profits for the next period. Show all work.
in a study of redgreen color blindness 950 men and 2000 women are randomly selected and tested. among the men 83 have
What are the limitations and assumptionbs of the t-test? What are some examples in your field (Nursing) for which you might use a t-test to compare a sample to the population and why?
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