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The National Assessment of Educational Progress (NAEP) sample of 1077 young women had mean quantitative score =275. Take it as known that the standard deviation of all individual scores is = 60.
1. Suppose that the same result, the mean quantitative score = 275, had come from a sample of 250 women. Give the 95% confidence interval for the population mean in this case.
2. Then suppose that a sample of 4000 women had produced the sample mean 275, and again give the 95% confidence interval for the population mean.
3. What can you say about the effect of sample size on confidence intervals?
Consider that you are a line manager in your current Corporation. There is a 0.50 probability that you will be promoted this year. There is a 0.65 probability that you will get a promotion or a raise. The probability of getting a promotion and a r..
For the mold described in (g), can you find the probability that it's COST value will exceed $150,000? If yes, obtain this probability. If no, why not?
Determine expectation of number of vehicles passing through this specified point in ten minutes.
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Findout the value of X using normal distribution which gives standard deviation also mean. A math teacher gives two different tests to measure students' aptitude for math.
Of the 900 employees, 590 had college degrees, 120 were single, and 80 were single college graduates. Find the probability that an employee of the company is married and has a college degree.
Take a confidence interval for the difference in the average of renting between the first andthird hotel.
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Joe Mauer of the Minnesota Twins had the highest batting average in the 2009 Major League Baseball season. His average was .461. So assume the probability of getting a hit is .461 for each time he batted. In a particular game, assume he batted fou..
Compute the variance and standard deviation of the number that will arrive within two days.
Assume that the population is 0.55. Compute the standard error of the sample proportion for the following sample sizes:
A major study examined the relationship between cause of death (heart attack, cancer, stroke, accident, etc.) and age. A good way to graphically represent the relationship is with
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