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Thinking of the many variables tracked by hospitals and doctors' offices, confidence intervals could be created for population parameters (such as means or proportions) that were calculated from many of them. Choose a topic of study that is tracked (or that you would like to see tracked) from your place of work. Discuss the variable and parameter (mean or proportion) you chose, and explain why you would use these to make an interval that captures the true value of the parameter of patients with 95% confidence.
Consider the following:
How would changing the confidence interval to 90% or 99% affect the study? Which of these values (90%, 95%, or 99%) would best suit the confidence level according to the type of study chosen? How might the study findings be presented to those in charge in an attempt to affect change at the workplace?
An accounting professor at a state university in Vermont recently gave a three-question multiple-choice quiz. What is the probability of getting a perfect score if you were forced to guess at each question?
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The divisions between the commercial and industrial East, and the frontier and agrarian West, were for most of American history.
If two series of 1000 draws are made at random from this box, what, approximately, is the chance that they produce the same number of black balls?
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Explain in statistical terms why you might be skeptical about Dr. Weeks conclusion. Propose an alternative explanation for these results.
Construct a 99?% confidence interval estimate for the mean spending for all shoppers who are members of the? website's premium program.
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