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1. What is the real world value of the y-intercept and slope in a regression equation?
2. Other than statistics problems, why should I care?
3. I know how to calculate, but what does it really mean when you apply it in a business setting?
4. When you use them in forecasting, how accurate can it really be? After all, there are so many factors (other than the regression equation) to consider?
Discuss the properties of a normal distribution. Why are there infinite possible normal distributions? Why should one assume that sample data represents a population distribution?
a) What is the probability that for any day, the number of special orders sent out will be more than 4? b) What is the standard deviation of the number of special orders sent out daily?
A normal population has a mean of 75 and a standard deviation of 5. You select a sample of 40. Compute the probability that the sample mean is Between 74 and 76.
In performing the symmetric approximation, you calculate a mean of the total system cost as $1,725K. The variance is 22500. The POE is $1,600K.
Use the continuity correction and describe the region of normal curve that corresponds to the indicated binomial probability. The probability of more than 50 right answers.
A physician wanted to estimate the mean length of time µ that a patient had to wait to see him after arriving at the office.
You want to create a 90% confidence interval for the true average number of yards per game he throws. What is the margin of error for this estimate?
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
Find the probability between the given values for normal distribution.
Use this poll result to give 70%, 80%, 90% and 99% confidence intervals for the proportion of all adults who feel this way. What do your results show about the effect of changing the confidence level? (Use Excel)
Find out the Expected value of the perfect information for the given problem. Given the subsiquent cost tree, illustrate what is the expected outcome.
There is some concern that exposure to gases used in anesthesiology might be harming health of anesthesiologists. In one study of 525 Michigan nurse anesthesiologists, 10 reported a new malignancy other than skin cancer during the previous year.
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