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Suppose X and Y are independent random variables with X following a uniform distribution on (0,1) and Y exponentially distributed with parameter Lambda = 1.
a) Find the density for Z = X + Y. Verify that it integrates to 1. Find the median (the value of z for which P(Z =< z) = 1/2)
b) find E(X - Y) and var(X - Y). Find E(ZX)
To findout the point estimate of the difference among population mean. Elucidate the percentage increase in the number of days on the disabled list.
Compute test statistic and p -value for each sample. (Negative amount must be pointed out by minus sign.)
Rose's garden is a square with sides of length x feet. Next spring she plans to make it rectangular by lengthening one side 5 feet and shortening the other side by 5 feet. What polynomial represents the new area?
How is regression analysis used in forecasting? Provide examples. How may it be used to formulate strategies?
Discuss whether the percent distribution of the cross-tab and chi-square supports/does not support the researcher's hypothesis.
For a lottery to be successful, the public must have con dence in its fairness. One of the lotteries in Maryland is Pick-3 Lottery. Write down the test statistic to be used for testing the hypothesis.
A Myrtle Beach resort hotel has 120 rooms. In the spring months, hotel room occupancy is approximately 75%. What is the probability that at least half of the rooms are occupied on a given day?
What is the difference between a sample and a population? When can the same information (e.g. the age of each of the ten students in our class) be considered both sample data and population data?
Approve a schedule by .25 minute, down to a minimum time of 1.0 minute to approve a schedule. How many assistants should the dean assign to the advisor?
Suppose that the results of the sample lead to rejection of the null hypothesis. Classify that conclusion as a:
Mothers did not take the drug DES during pregnancy , what is the estimate of the number of women out of 1000 who would be expected to have tissue abnormalities?
Compute a seasonalized or adjusted sales forecast.
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