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Statistical Analysis Homework: Hypothesis Testing and Confidence Intervals, Assignments of Statistics

A statistics homework assignment focusing on hypothesis testing and confidence intervals. The problems involve testing the mean of a population based on sample data, finding confidence intervals for means and proportions, and comparing proportions between two populations. The data provided includes information about tire miles, hourly earnings, and survey responses.

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Pre 2010

Uploaded on 12/11/2006

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Download Statistical Analysis Homework: Hypothesis Testing and Confidence Intervals and more Assignments Statistics in PDF only on Docsity! Homework 6 1. Tires manufactured by company X are designed to have a mean of at least 28,000 miles and a population standard deviation of 1000 miles. Tests with 30 tires show a sample mean of 27,500 miles. Using 0.05 level of significance, test whether or not there is sufficient evidence to reject the claim of a mean of at least 28,000 miles. 2. Find an 80% confidence interval for the mean miles of a tire. 3. The U.S. Bureau of the Census reported mean hourly earnings in the wholesale trade industry of $9.70 per hour with a standard deviation of $1.05. A sample of 49 wholesale trade workers from Blacksburg, VA. The average for the sample was found to be $7.92. At = .10, is Blacksburg following the national average. 4. Use question #3 at  = 0.05 5. In the past, the Dumont Clothing Store has recorded 72% charge purchases and 28% cash purchases. A sample of 200 recent purchases shows that 160 were charge purchases. Does this suggest a change in the charge purchases? Write out the Hypothesis and give your answer. 6. Find a 99% confidence interval for the cash purchases in problem #5 7. A survey firm conducts door-to-door surveys on a variety of issues. Some individuals cooperate with the interviewer and complete the interview questionnaire, while others do not. The sample data are shown below: Respondents Sample Size Number Cooperating Men 200 110 Women 300 210 Using = 0.05 test the hypothesis that the response rate is the same for both populations of men and women. 8. Compute the 90% Confidence interval for the difference between the population proportions of women and men who cooperated with the survey.