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Suppose strep resistance rates in all cities across the country are actually 0.05.
a) If samples are taken in a particular city to produce a 90% confidence interval for the proportion of all strep cultures in the city that are resistant to antibiotics, what is the probability that the 90% confidence interval succeeds in capturing the true population proportion for that city?
b) If samples are taken in 100 cities across the country, to produce 100 90% confidence intervals for the proportion of all strep cultures in each city that are resistant to antibiotics, about how many of the intervals should succeed in capturing the city's true population proportion?
c) About how many of the 100 90% confidence intervals would fail to capture the true population proportion?
How large a sample must be selected if the company wants to be 85% confident that the true mean differs from the sample mean by no more than 1 day?
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then lengths of a certain component are normally distributed with a mean of 250 mm and a standard deviation of .6mm.
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as an epidemiologist you are going to investigate the effect of a drug suspected of causing malformations in newborn
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