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A sample of 2,500 people was asked how many cups of coffee they drink in the morning. You are given the following sample information. The frequency of 0 coffee is 700, the frequency of 1 cups of coffee is 900. The frequency of 2 cups of coffee is 600. The frequency of 3 cups of coffee is 300. The expected number of cups of coffee is?
Determine the point estimate in this study? Compute the standard error in this example?
Find out z values for 29 and 34 hours. What percent of garages take between 32 hours and 34 hours to erect?
Suppose the company that has produced "Get Slim X" now produces an even better diet pill. This new and improved version is called "Get Super Slim X."
A second sample of 61 has a mean of 100 and a population standard deviation of 8. Conduct a z-test about a difference in sample means using a 0.03 significance level and the following hypotheses.
An automobile manufacturer has a new model that they claim gets 27 miles per gallon. A consumer testing agency chooses 50 of these cars and finds that the sample mean is 25 miles per gallon and the sample standard deviation (s) is 3 miles per gall..
Differentiate between a point estimate and an interval estimate for a population parameter. What is necessary for an interval estimate to be a confidence interval?
The standard deviation is thought to be $400. How many card holders should be sampled? Your company charges a set dollar amount for each account in the sample.
The number of children, x, belonging to each of eight families registering for swimming was 2, 2, 2, 4, 2, 1, 2, 2. Find the mean, x. (Give answer correct to 2 decimal places.)
How many drinks do we have to sample if we wish the length of the 95% confidence interval of the mean to be 0.1 ounce?
A researcher used stepwise regression to create regression models to predict Birthrate (births per 1000) using five predictors:
The following data were obtained from an independent measures study. Determine if there is a significant difference between the treatments. Use a significant level of .01.
After 1,000-trial simulation, examine statistical information generated and compare output of simulation with your findings in Problem .Briefly describe the significant similarities and differences.
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