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it is reported that 60% of a certain larg epopulation eat a certain brand of cereal. We randomly select 25 individuals from this population. Let X be teh number of people who eat this certain brand of cereal. Find the probability that 1) at most 10 of them eat this brand of cereal 2)more than 19 of them eat this brand of cereal 3) between 12 and 17 (inclusive) of them eat this brand of cereal? 4) find the mean and standard devation.
Find ten consecutive composite numbers. Find the prime factors of 1147 and of 1716. Are there any common factors?
A researcher conductued a study of the access speed of 35 hard drives and concluded that his maximum error of estimate was 35. If he were to conduct a second study to reduce the maximum error of estimate to 7, about how many hard drives should he ..
Precisely (i.e., using specific numbers) what does central limit theorem tell us about sampling distribution of sample means for samples of this size from this population?
During the period of time phone-in reservations are being taken at a local university, calls come in at a rate of one every ten minutes.
Generate a 95% confidence interval for the difference in mean HDL levels between men when exercise regularly and those who do not.
Describe 5 data collection techniques in your own words. Explain why the four demographic questions you included in your survey are important and or are of interest to the study.
The quality control department of Widgets Manufacturing needs your help. They can't decide which significance level is appropriate for testing the claim that fewer than 50% of widgets from a production run are defective.
A point estimate for the difference between the mean purchases of the users of the two credit cards is:
What's the expected value of sample information? How much might the physicians be willing to pay for a market study?
A random sample of eight adults aged 30 years were asked how much they spent on medical costs in the year 2011. The following data were measured. Compute the sample standard deviation.
What is the probability that a randomly selected big-screen television purchase in this sample is a purchase of a plasma-screen television?
How large a sample must one take to be 90% confident that the estimate is within 0.05 of the true proportion of women over 55 who are widows?
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