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Suppose we have a population of scores with a mean (μ) of 975 and a standard deviation (σ) of 15. Assume that the distribution is normal. Provide answers to the following questions:
1. What percentage of the population will lie between 960 and 990?2. What percentage of the population will lie below 975?3. What percentage of the population will lie below 990?4. What two values of X (the counts) would encompass the middle 50 percent of scores?
Costs of Televisions Listed below are prices (in dollars) and quality rating scores of rare-projection televisions (based on data from Consumer Reports). All of the televisions have screen sizes of 55 in or 56 in.
Quarterly customer surveys are taken at a medical center. Each individual department has scores and is comparted to the medical center average. Department of Physical Therapy had scores of 9.14, 9.19 and 7.75 for quarters 1-3 respectively.
A state lottery involves the random selection of six different numbers between 1 and 28. If you select one six number combination, what is the probability that it will be the winning combination?
Critique the HR manager's planned approach and give him advice on how to proceed. You can assume that a reasonable estimate for the proportion of new hires that are happy with the company is .8.
There is concern about the percent of on-time flights. A recent survey of two major airlines yielded the following results. At α = 0.05 test the claim that there is a difference in proportions of on-time flights.
Fit a least squares trend line to the merger data. What type of trend (linear or curved) might best fit to this time series? Compute the forecast for year 20 based on the trend (linear or curved) that best fits the data?
The Starbucks in the Bauer College of Business found that 24% of customers purchase more than one cup of coffee per day from their shop. If 180 customers are randomly selected one day, what is the probability that no less than 25% of them purchase..
Think about how correlation is often miscast as causation. That is, cause is attributed to a variable when in fact.
1. What do discrete random variables describe? 2. Explain joint probability. 3. Explain conditional probability.
Suppose the company that has produced "Get Slim X" now produces an even better diet pill. This new and improved version is called "Get Super Slim X."
What percentage of men are too tall to fit though a standard doorway without bending, and what percentage of women are too tall to fit through a standard doorway without bending?
Your company ships a lot of packages needing quick delivery and short notice. In the past, you have used Speedy Air Delivery Service, but you are beginning to receive complaints from customers who say they are not receiving their packages on time.
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