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Suppose the coach of the football team wants to estimate the proportion of the population of fans who support his current starter lineup. The coach wants the estimate to be .04 of the true proportion. Assume a 90 percent level of confidence. The coach estimated the proportion supporting the current starter lineup to be .60.
Answer the following questions:
1. Construct a 90% confidence interval using a sample size of 50, then of 100, then of 1,000.
2. How did changing the sample size affect the size of the interval?
3. What is the error of the estimate for each of these sample sizes?
4. How large of a sample is required for the error of the estimate to be within +.04 of the population proportion?
5. How large would the sample have to be if the coach of the team were not available?
A standard deviation of 4.0 days; and 12 employees were absent more than 10 days. Set up a 95% confidence interval estimate of the average number of days absent for the company's workers last year.
1. the length of time in minutes required to complete a series of physical therapy exercises is normally distributed
The critical value of F at 95% confidence when there is a sample size of 21 for the sample with the smaller variance, and there is a sample size of 9 for the sample with the larger sample variance is:
A range of values constructed from sample data so that the parameter occurs within that range at a specified probability is:
in 2002 investigators started a study of the association of cholesterol levels and stroke in a group of 2000 healthy
Would you be able to assist me in completing a 5 step hypothesis test on both hypotheses (1 parameter & another with 2 or more)? In completing this test, I need to explain how to complete it.
A random sample of students is selected, and each one is asked to try first brand A and then brand B, or vice versa with the order determined at random.
Is this a statistically significant difference? Write the two statistical hypothesis and conduct the appropriate test with your conclusion justified.
A researcher collected sample data for 17 women ages 18 to 24 . The sample had a mean serum cholesterol level (measured in mg/100 mL) of 188.8 , with a standard deviation of 5.5.
Study have in distinguishing between case-fatality rates in 1990 and 2000-2005 if a two-sided test with significance level .05 is planned? B. How large a sample is needed in the previous problem to achieve 90% power?
Population have at least some college education. choose 10 persons at random. Find the probability that at least 5 do not have any college education.
What happens to the confidence interval when we go from a 95% confidence level to a 99% confidence level? Is this desirable? When would we want to use a 99% confidence interval?
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