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A research engineer for a tire manufacturer is investigating tire life for a new rubber compound and has built 16 tires and tested them to end-of-life in a road test. The sample mean and standard deviation are 60138.6 and 3642.54 kilometers. Compute a 95% prediction interval on the life of the next tire of this type tested under conditions that are similar to those employed in the original test. Compare the length of the prediction interval with the length of the 95% CI on the population mean. Round the answers to 1 decimal place.
Perform the indicated test of hypothesis. HO: M 7, given x= 0.01, N=25, Xbar = 7.019 and SD is =.1681. Assume the sample is selected from a normally distributed population.
According to an IRS study, it takes a mean of 330 minutes for taxpayers to prepare, copy and electronically file a 1040 tax form. The distribution of times follows the normal distribution and the standard deviation is 80 minutes. A consumer watchd..
A final exam in Statistics has a mean of 73 with a standard deviation of 7.73. Assume that a random sample of 24 students is selected and the mean test score of the sample is computed. What percentage of sample means are less than 70?
A local health center noted that in a sample of 400 patients 80 were referred to them by the local hospital. What size sample would be required to estimate the proportion of hospital referrals with a margin of error of 0.04 or less at 95% confiden..
you are trying to estimate the number of csn students with iphones. a random sample of 130 students reveals that 65 of
we write the numbers 1 -10 on separate pieces of paper and put them into a box. a number is drawn from the box. find
What fraction of the company's product is good? What percentage is blemished? If an unit of product is selected at random and found to be blemished, what is the probability that it was produced on machine B?
Boston Globe article "bargains on the menu-and a Side of Jitters" reported concerns
Assume that the standard deviation of college student IQ's is 10. A random sample of 100 students from a college showed an average IQ of 110. Compute a 95% confidence interval for the mean IQ of students attending this college.
What about a variable I intend to use to help do some forecasting. Interest rates, for example, will have an effect on the number of houses purchased --- may I call interest rate the independent variable and number of houses purchased the dependent v..
A sample of 100 orders revealed that 82 were delivered within the promised time. At the 0.10 significance level, can we conclude that less than 90% of the orders are delivered in less than 10 minutes?
the relationship assumed linear between yield of bourbon y and aging time x was studied by observing yields yi from
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