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Dr. Maureen Becker, the head administrator at Jefferson County Regional Hospital, must determine a schedule for nurses to make sure there are enough of them on duty throughout the day. During the day, the demand for nurses varies. Maureen has broken the day in to twelve 2-hour periods. The slowest time of the day encompasses the three periods from 12:00 A.M. to 6:00 A.M., which beginning at midnight; require a minimum of 30, 20, and 40 nurses, respectively. The demand for nurses steadily increases during the next four daytime periods. Beginning with the 6:00 A.M.- 8:00 A.M. period, a minimum of 50, 60, 80, and 80 nurses are required for these four periods, respectively. After 2:00 P.M. the demand for nurses decreases during the afternoon and evening hours. For the five 2-hour periods beginning at 2:00 P.M. and ending midnight, 70, 70, 60, 50, and 50 nurses are required, respectively. A nurse reports for duty at the beginning of one of the 2-hour periods and works 8 consecutive hours (which is required in the nurses' contract). Dr. Becker wants to determine a nursing schedule that will meet the hospital's minimum requirement throughout the day while using the minimum number of nurses.
a. Formulate a linear programming model for this problem.
(a) Find your total expected return. (b) Find the value of t that maximizes the total expected return.
Credits is the number of college credits taken and Work is the number of hours worked per week at an outside job. Is the intercept meaningful? Explain.
Which kind of t-test should be used? Calculate the two-tailed t and p values using this t-test.
a Find P(μ > $11,000) for both prior distributions. b That afternoon, the comptroller randomly chose nine accounts and calculated x =
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Write up your results by using scientifically recognized form.
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a researcher is interested in the relationship between birth order and personality. a sample of n100 people is obtained
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