Estimate the true proportion of home
A report states that 38% of home owners had a vegetable garden. How large a sample is needed to estimate the true proportion of home owners who have vegetable gardens to within 4% with 95% confidence?
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The number of hours per day a college student spends on homework has a mean of 6 hours and a standard deviation of 1.25 hours. Yesterday she spent 3 hours on homework. How many standard deviations from the mean is that?
Suppose that the horses are evenly matched, so that all possible finishing orders are equally likely. Let X represent your winnings, and let Y represent your friend's winnings.
Inclusions are defects in poured metal caused by contaminants. The number of (large) inclusions in cast iron follows a Poisson distribution with a mean of 2.5 per cubic millimeter. Determine the following:
How large a sample should be surveyed to estimate the true proportion of college students who do laundry once a week within 3% with 95% confidence?
In a general population, what is the probability of your classmate being male?Using the data collected from the Student Data Survey at the beginning of the course, what is the probability of your classmate being male? Is there a difference betwee
Give a 90% confidence interval for Leroy's free-throw success probability for the new season. Are you convinced that he is now a better free-throw shooter than last season?
An ad is placed in newspapers in four counties asking for volunteers to test a new medication for reducing blood pressure. The number of inquiries received in each area is as shown here.
There are two major types of regression analysis-simple and multiple regression analysis. Both types consist of dependent and independent variables. Simple linear regression has two variables-dependent and independent. Multiple regression consists
On a normal distribution with a mean of 500 and a standard deviation of 97, what percentage of cases will fall between 470 and 550?
1. Assume that the histogram of a data set is symmetric and bell shaped, with a mean of 75 and standard deviation of 10. Then, approximately 95% of the data values were between 55 and 95.
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