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A manufacturer wishes to estimate the proportion of washing machines leaving the factory that is defective. How large a sample should she check in order to be 90% confident that the true proportion is estimated to within 1.5%?
A group of day to day workers can work either 0 hours, eight hours or 12 hours at a pay rate of $9.75 per hour. (The 12 hour day pays regular time for the first eight hours and double time for the remaining four hours.
If zero can be the first digit and the numbers can be repeated, what is the probability Mr. Jones and Mrs. Smith select the same PIN? (Round your answer to 3 decimal places.)
Based on this information, complete the following statements about the distribution of the scores on the writing section for the recent year.
On a test whose distribution is approximately normal with a mean of 50 and a standard deviation of 10, the results for three students were reported as follows:
Company wishes to know how many pounds of each chemical ingredient to put into the bag of fertilizer to meet minimum needs of 20 ounces of nitrogen, 36 ounces of phosphate, and 2 ounces of potassium during minimizing cost.
Suppose the p-value for these test is 0.03. Is the difference in percentages at a 5% level? Explain. Suppose the p-value for this test is 0.03. Is the difference in percentages significant at a 1% level? Explain. What is the overall (weighted) sample..
If the manufacturer sells the parts in packages of 10 parts, what are the mean and standard deviation of the numberof useable parts in a package?
Make a stem plot for the men height data. Calculate the five-number summary for the women.
You are conducting a study for which it is critical that the findings be representative of the population of interest. Which of the following research methods runs the greatest risk.
Tthe job is normally distributed and has a mean time of 30 minutes with a standard deviation of 8 minutes. How much time should the employer allow employees to finish the job?
Generate a 95% confidence interval for the difference in mean numbers of cups of coffee consumed between men and women.
Which approach is most preferred and why? Optimistic, conservative, or minimax regret. Also, is establishing the most appropriate approach before analysising the problem important for the decision maker?
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