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Consider a hypothesis test of H0: μ = 0 against H1: μ > 0 where μ is the mean percent change in total body bone mineral content of young women. The population standard deviation is σ = 2. The level of significance for the test is α = 0.05.
(For the prediction, just estimate the effect of increasing μ on the power in part (b) below.)
a) What sample size is minimally required to give at least 0.9 power? (Use Excel to calculate the power for a range of sizes for the SRS.) What is the actual power for this sample size?
b) Produce a power curve for a sample size of 25. A power curve is a scatter plot of power versus values of μ that are admissible under the alternative hypothesis. In order to produce a smooth curve, use Excel to calculate the power for μ ? {0.05, 0.10, 0.15, ..., 1.95, 2.00}, and direct Excel to connect the points in the scatter plot.
Construct a 96% confidence interval for the mean weight of all firefighters six months after the exercise rooms were installed.
A previously used drug treatment has a mean remission time of 12.5 weeks. Does the data indicate that the mean remission time using the new drug is different from 12.5 week at a level of significance of 0.01?
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Compute the indicated confidence interval for the differenciate in proportions. Suppose that the samples are independent and that they have been randomly selected.
Random sample of 100 people yielded following data on number of tissues utilized in a cold: x-bar = 38, s = 20. By using sample information provided, compute the value of test statistic for the relevant hypothesis test.
The New York Times reported (L.J> Flynn, Tax Surfing, The New York Times, March 25, 2002, p. C10) that the mean time to download the home page for the internal Revenue Service (IRS) , was 0.8 second. Suppose that the download time was normally di..
Compute the value of the test statistic. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.)
What is the city mileage standard deviation for this SUV model?
Given length an athlete throws a hammer is a normal random variable with mean 50 feet and standard deviation five feet, what is the probability he throws it: Between 50 feet and 60 feet.
Develop an appropriate forecast model for the given problem whereas the student population has remained constant during this period.
Draw a simulation experiment for car agency and simulate using fleet of four rental cars for 10 days.
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