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The director of admissions at the University of Maryland, University College is concerned about the high cost of textbooks for the students each semester. A sample of 25 students enrolled in the university indicates that X (bar) = $285.4 and s = $42.20.
a. Using the 0.05 level of significance, is there evidence that the population mean is above $300?b. What is your answer in (a) if s = $90 and the 0.10 level of significance is used?c. What is your answer in (a) if X (bar) = $310.10 and s = $40.20?d. Based on the information in part (a), what decision should the director make about the books used for the courses if the goal is to keep the cost below $300?
U.S. News & World Report publishes the average starting salary and the average GMAT score for MBA graduates at each of the top 80 ranked schools in the country.
We suspect that automobile insurance premiums (in dollars) may be steadily decreasing with the driver's driving experience (in years), so we choose a random sample of drivers who have similar automobile insurance coverage and collect data about th..
Based on a survey of over 10,000 households, the number of televisions in the home was recorded as given in the table below. Based on the data, find the expected number of televisions in a home.
What is the probability that the project will be completed in 17 months or less?
A sample of n= 16 scores has a mean of M = 45 and SS = 960. Calculate the sample standard deviation (s) and the estimated standard error for the sample means (SM).
A market research company surveyed consumers to determine their ranked preferences of energy drinks among the brands Monster, Red Bull, and Rockstar.
Create the acceptance-rejection technique for creating the geometric random variable, X, with parameter p on range {0, 1, 2, ...}.
Suppose 1.5 percent of the antennas on new Nokia cell phones are defective. For a random sample of 200 antennas, find the probability that:
Compute the standard error of the sampling distribution of sample means.
Identify and briefly discuss two important concepts ( Prediction and Regression/ Correlation or Regression) applicable to analytical methodology.
Using the .10 level of significance, can we conclude that the assembly time using the new method is faster?
In a distribution of sentence lengths in months like the following: 6, 12, 10, 18, 24, 360; which statistic would a researcher not want to report?
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