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An investigator wants to design a study to estimate the difference in the proportions of men and women who develop early onset cardiovascular disease (defined as cardiovascular disease before age 50). A study conducted 10 years found that 15% and 8% of men and women, respectively, developed early onset cardiovascular disease. How many men and women are needed to generate a 95% confidence interval estimate for the difference in proportions with a margin of error not exceeding 4%?
Application of simple linear regression analysis to the estimation of a demand equation has yielded the following
The sales of Lexus automobiles in the Detroit area follow a Poisson distribution with a mean of 3 per day. What is the probability that for five consecutive days at least one Lexus is sold?
The mean amount purchased by a typical customer at Churchill's Grocery Store is $23.50 with a standard deviation of $5.00. Assume the distribution of amounts purchased follows the normal distribution. For a sample of 50 customers, answer the follo..
Suppose you, as manager of Tennessee Grilled Pork, will submit proposals for a small business loan and a city business grant to help fund the building of the new location you submitted to the management teams.
In past, mean processing time was 45 days. At 0.05 level of significance, is there evidence that mean processing time has changed from 45 days?
Using smoothing constant of w = .80, compute the value of exponentially smoothed series in 1983.
In a sample of 855 bartenders, 48% heard complaints from persons about work. If the margin of error was 4.4%, what was the confidence level that was used?
Describe the relevant population and the source (e.g. newspaper, TV, radio, internet, etc.). Explain why you do not believe it is accurate.
A loaf of bread is normally distributed with a mean of 22 oz and a standard deviation of 0.5 oz. What is the probability that a loaf is more than 22.25 oz?
To test whether the population mean is less than a specified value.
Determine the class with the greatest number of data values.
Assume the arrival of these emails is approximated by the Poisson distribution.
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