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Suppose (as is roughly true) that 88% of college students were employed last summer. A samply survey interviews SRS of 400 college students at OSU. In the SRS, 324 college students were found to be employed last summer.
(a) What is the sample proportion ˆp of college students at OSU who worked last summer?
(b) What is the approximate distribution of the proportion ˆp of college students at OSU who worked last summer?
(c) Using the 68 - 95 - 99.7, if you had drawn an SRS of 400 college students in the US, between what two percents would you expect ˆp to fall about 95% of the time?
If appropriate, use the Tukey-Kramer procedure to examine differences among machines. What can you conclude about the effects of machines on breaking strength? Explain.
Sample mean of 190.7 days and the population standard deviation of 54.2 days. Estimate the true mean population of the growing season with a 95% confidence.
If the agent has enough time to contact only 15 customers, how confident can she be of selling all four houses within the available time?
When the conditionally and unconditionally expected values of a discrete random variable would be different?
you select 3 bottles at random from a large production batch of bottled water. you guess that 80 of the bottles in the
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The time between arrivals at a drive-through window of a fast food restaurant follows the distribution given below. The service time distribution is also given in the table below. Use the random numbers provided to simulate the activity of the f..
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(a) Test the hypothesis that H0 : μ = 44 vs. Ha : μ /= 44 using α = 0.10. Draw a box plot and normal plot for this data, and comment.(b) Find a 90% con?dence interval for the population mean μ. (c) Discuss the meanings of (a) an..
Critically illustrate out the limitations of seasonal forecasting? Provide examples.
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