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Past experience indicates that the variance in the time it takes for a "fast lube" operation to actually complete the lube and oil change for customers is 9.00 minutes. The manager wishes to estimate the mean time with 99 percent confidence and a margin of error of ± 0.50 minutes. Given this, what must the sample size be?
Using the data file below, construct a histogram and a frequency polygon. Describe the shape of this distribution.
Could this information be viewed as representing the ratio scale of measurement? If so , explain why. If not, why not.
Calculate the correlation coefficient. What is the coefficient of determination from these sample statistics? What does this coefficient indicate?
Over the past few years, banks have strongly promoted online banking and the paying of bills online. In 2003, about 50% of internet users paid bills online.
If a blue ball is selected you win nothing. Let X be the amount that you win. The expected value of X and let the random variable X be a random number with the uniform density curve given below
Assume the arrival of these emails i3 approximated by the Poisson distribution.
Answer all of these questions using R Commander. Include all graphs, outputs from R Commander.
A study of 25 graduates of four-year colleges by the American Banker's Association revealed the mean amount owed by a student in student loans was $14,381.
For adults 60 years or older, they found a mean daily intake of 721 mg with a standard deviation of 454 mg. Using these values for the mean μ and standard deviation σ for the U.S. population:
Analysis of weekly widget production reveals that the number of widgets X produced in a week is a random variable with mean μX = 200 and standard deviation σX = 20. What are the mean and the standard deviation of C?
Given the same sample mean and the same sample size which confidence interval estimate would be larger and why: One with a 90% confidence level or one with a 95% confidence level?
Find the difference between the actual Y value and predicted Y value for each individual, square the differences, and add the squared values to obtain SS residual.
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