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Aggie Power Generation supplies electrical power to residential customers for many U.S. cities. Its main power generation plants are located in Los Angeles, Tulsa, and Seattle. The following table shows Aggie Power Generation's major residential markets, the annual demand in each market (in megawatts or MWs), and the cost to supply electricity to each market from each power generation plant (prices are in $/MW).
a. If there are no restrictions on the amount of power that can be supplied by any of thepower plants, what is the optimal solution to this problem? Which cities should be supplied by which power plants? What is the total annual power distribution cost for thissolution?
b. If at most 4000 MWs of power can be supplied by any one of the power plants, whatis the optimal solution? What is the annual increase in power distribution cost that resultsfrom adding these constraints to the originalformulation?
What is the probability that there will be a stock out? Given that you, the maintenance officer at the facility, want the probability of a stock out to be no more than 5% what should the reorder point be?
ll subjects in the study were questioned about lifestyle factors including alcohol, tea, and coffee consumption. The resulting data.
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experience has shown that 60 of the time a strike by union workers is settled within two-weeks 55 of the time the union
Determine the margin of error that corresponds to the given values of n (times) and x (successes) and the degree of confidence: n=1400, x=420, 95%. Go 3 decimal places of precision.
A stockbroker at Critical Securities reported that the mean rate of return on a sample of 10 oil stocks was 12.6 percent with a standard deviation of 3.9 percent. The mean rate of return on a sample of 8 utility stocks was 10.9 percent with a stan..
toss five fair coins and let x equal the number of heads observeda. identify the sample points associated with this
Normal distribution with a mean of 33 oz. and a standard deviation of 0.7 oz. What proportion of packets are underweight (i.e., weigh less than 32 oz.)?
In your environment (business or personal), please give an application of exponential smoothing and why you would use this technique.
Calculate the sample statistic and standard error you will use to create the test statistic.
How would I go about finding a 95% confidence interval for the population mean if a sample of size 20 has a mean of 18.2 and a sample standard deviation of 3.6?
Is it possible to normalize the data when the population shape has a known skew? How would you demonstrate the central limit theorem to your classmates?
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