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1. For the frequencies f1 = 12, f2 = 18, f3 = 15, f4 = 10, f5 = 8, and f6 = 5, verify that the sample mean is 3.
2. For the observations21, 36, 42, 24, 25, 36, 35, 49, 32verify that the sample variance and the sample Winsorized variance are s2 = 81 and Sw2 = 51.4, respectively.
Impact of Uncertainty on MNC Value Minneapolis Co. is a major exporter of products to Canada. Today, an event occurred that has increased the uncertainty surrounding the Canadian dollar's future value over the long term. Explain how this event ca..
a life insurance company wants to update its actuarial tables. assume that the probability distribution of the
calculate the samplenbspcovariancenbspbetween two variables x and y using the formulas described in lecture or
Joe Barnes is the owner of Standing Tall, one of the major roofing companies in town. Much of the company's business comes from building roofs on new houses. Joe has learned that general contractors constructing new houses typically will subcontra..
the probability that a small business will go bankrupt in its first year is 0.21. For 50 such small business, find the following probabilities by using either the binomial probability formula or by using the normal approximation.
A flour mill produces flour in small bags before distributing them to wholesalers. The average weight of each bags is 8 kg with a standard deviation of 0.5 kg.
A dataset has 1000 records and 50 variables with 5% of the values missing, spread randomly throughout the records and variables. About how many records would you expect would be removed?
Let X1 and X2 have a bivariate Gaussian PDF with correlation coefficient ρ12 such that each Xi is a Gaussian (µi, σi) random variable. Show that Y = X1X2 has variance
assume that the mean hourly cost to operate a commercial airplane follows the normal distribution with a mean of 2225
For an arbitrary random variable X, use the Chebyshev inequality to show that the probability that X is more than k standard deviations from its expected value E[X] satisfies
Use Friedman test to find out whether there is evidence for significant difference between two population variance. Use .05 level of significance.
A person runs one mile to his house as fast as he can. It is equally likely that he will run at an average speed of 3 miles per hour, 6 miles per hour, and 9 miles per hour.
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