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Assume that the random sample of 200 light bulbs has mean life of 635 hours and standard deviation of 48 hours. Before applying Empirical Rule, what suppositions requires to be made about distribution of lifetimes of light bulbs? There will be a spread of distribution.
Healthcare issues are receiving much attention in both academic and political arenas. Compute the arithmetic mean age of the uninsured senior citizens to the nearest hundredth of a year.
A metropolitan school system consists of three school districts-norths, south, central. The north district contains 25% of all students, the south district contains 40%, and the central district contains 35%.
At.05 level of significance determine if correlation between rental cost and apartment size is significant.
A study is conducted to compare mean cholesterol levels for individuals following a low carbohydrate diet for at least 6 months to individuals following a conventional (low fat, low calorie )diet for at least 6 months.
Critically illustrate out the characteristics of a standard normal distribution? Can two distributions with the same mean and different standard distributions be considered normal?
Suppose it is known that if you offer free samples o a product, at least 52% of adults are more likely to buy the product. You interview a random sample of 50 adults.
Creek Ratz is a very popular restaurant located along the coast of northern Florida. They serve a variety of steak and seafood dinners. During the summer beach season, they do not take reservations or accept a call seating.
Consumer products companies design different promotional activities to accomplish different goals. According to a spokesperson for General Mills, the company's cents-off coupon offers are designed to convince people to buy its products
In the last quarter of 2007 a group of 64 mutual funds had a mean return of 0.9% with a standard deviation of 5.2%. Consider the normal model N(0.009.052) for the returns of these mutual funds.
Suppose that 10% of all adults jog. An opinion poll asks an SRS of 400 adults if they jog. a) What is the sampling distribution of the proportion p^ in the sample who jog?
Roll a die and record the count of spots on the up face: P(1) = 0, P(2) = 1/6, P(3) = 1/3, P(4) = 1/3, P(5) = 1/6, P(6) = 0.
How large should the sample be if I want to maintain a 95 percent level of confidence and suffer a maximum error of $2.00 in my estimate of the highest price consumers are willing to pay?
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