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To find 95 percent confidence interval for the mean amount a citation.
Police Chief Aaron Ard of River City reports 500 traffic citations were issued last month. A sample of 35 of these citations showed the mean amount of the fine was $54, with a standard deviation of $4.50. Construct a 95 percent confidence interval for the mean amount of a citation in River City.
Is there any evidence that the different teatments produced different responses? If so, which one seems to work best?
The City Transit Authority plans to hire 8 new bus drivers. From the group of 100 qualified applicants, of whom 55 are men and 45 are women, 8 names are to be selected by lot. Suppose that Mary and John Lewis are among the 100 qualified applicants..
Using alpha = 0.05 and a computed value of +4.49, can we conclude that the percentage of claims for married policyholders is less then for single policyholders?
Prepare tables of descriptive statistics (mean, median, Quartiles, IQR, and Standard Deviation) by firm for net profit margin (PROFITS). Discuss.
Which of the following assumptions for inference about a proportion using a confidence interval are violated,
Which of these variables are discrete and which are continuous random variables?
Environmental Protection Agency (EPA) fuel economy estimates for automobile models tested recently predicted a mean of 24.80 mpg and a standard deviation of 6.2mpg for highway driving. Assume that a normal model can be applied.
Determine the probability distribution associated with these data.
Create the 90% confidence interval for mean score of all such subjects. You may suppose scores are usually distributed.
Assuming that these are a random sample of all publicly traded companies, construct a 95 % confidence interval for the overall noncompliance proportion.
A consumer organization estimates that over a 1-year period 17 percent of cars will require to be repaired once, 7 percent will need repairs twice, and 4 percent will require three or more repairs. What is the probability that a car chosen at rand..
Test hypothesis that annual incomes of corporate trainers in areas of more than 500,000 are considerably more than those in areas of less than 100,000. Make use of the 5% level of risk.
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