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The manager of Petroco service station wants to forecast the demand for unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The owner has accumulated the following data on demand for unleaded gasoline from sales during the pas 10 months:
Months Gasoline Demanded(gal)
October 800
November 725
December 630
January 500
february 645
March 690
April 730
May 810
June 1200
July 980
A. Compute an exponentially smooth forecast, using alpha value of .30.
B. Compute an adjusted exponentially smooth forecast (with alpha=.30 and beta = .20)
C. Compare the two forecasts by using MAPD and indicate which seems to be more accurate.
For the following scores, find the (A) mean, (B) median, (C) sum of squared deviation (d) variance, and (e) standard deviation:
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The following data show the cost of electricity during August 2010 for a random sample of 50 one-bedroom apartments in a large city:
MATH1550H: Assignment: Question: what is the least number of applicants that should be interviewed so as to have at least 50% chance of finding one such secretary?
First-order regression model was fit to data. Part of printout follows?
Suppose it is desired to estimate the population mean number of miles with a margin of error of ± 2 miles at 95% confidence. Do the data provide this desired level of precision? What action, if any, would you recommend be taken?
Find out the earliest completion time for play and critical path.
Drug manufacturer knows that for a certain antibiotics, the average number of doses ordered for a patient is 20. Steve Simmons, a salesman for the company
A normal population has a mean of 60 and a standard deviation of 3. You select a sample of 36. Compute the probability the sample mean is (Round z values to 2 decimal places and final answers to 4 decimal places):
a) Find the marginal density of Y. b) Find E(X) HINT: What is E (X|Y=y) ?
LPP using the graphical method. Solveout the following linear programming problem utilizing the corner point method.
A company supplies poultry farmers with hens, advertising that a mature B300 Layer produces eggs with a mean weight of 60.7 grams. Suppose that egg weights follow a Normal model with standard deviation 3.1 grams.
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