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You work for the BC Lottery Corp. Your boss asks you for an estimate of the percent of British Columbians who have gambled in a BC casino at least once. You decide to take a sample large enough so that the margin of error is no larger than 6% with 95% confidence. Before you take the sample you have no idea what percent have gambled in a BC casino. The results of your sample indicate that 80% have gambled in a BC casino at least once. Your boss tells you the margin of error is too large and wants it reduced to 3%. How many additional adults would you need in your sample to reduce the error to 3%?
This requires you evaluate the data (on the next sheet) and apply Queueing Theory to determine the characteristics of the queues. Please refer to the concept on Queuing Theory for the procedures to do.
Compute sample mean. Assume that desirable value for this solution has been specified to be 65.0 grams per liter. Compute sample variance and sample standard deviation.
Suppose the world series is about to begin. Some people get together and each decide to predict different win-loss patterns for the seven possible games during the coming series.
Let the random variable X denote the number of emergency calls received by the campus police office each day. The probability mass function of X is given by:
Find a 99% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)
The amount of money spent on lunches. The variance of nine business dinners was $6.12 and the variance of 12 business lunches was $0.87. What is the test value?
Starting with the base cuboid [month, customer, plan], what specific OLAP operations should be performed in order toi. Find the total no of calls made by each customer in 2009.
Suppose that a random sample of 14 cars shows an average speed of 24.0 mph, with a sample standard deviation of 2.2 mph. Assume that the speeds of cars are normally distributed. Using the T-table, what is the p-value?
A person decides to take a telephone survey of 40 families in the 721-exchange area (sometimes referred to as prefix). You want an excellent representation of all subscribers in the exchange area.
Suppose the p-value for these test is 0.03. Is the difference in percentages at a 5% level? Explain. Suppose the p-value for this test is 0.03. Is the difference in percentages significant at a 1% level? Explain. What is the overall (weighted) sample..
If you estimate a regression using OLS, but you do not include an intercept, do you know if the mean of the residuals is zero? Explain.
Of the remaining students, most scored in the 705-79% range. However, a few students scored below 60%. What would be the distribution of scores in this situation?
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