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Touche Young has three auditors. Each can work as many as 160 hours during the next month, during which time three projects must be completed. Project 1 will take 130 hours; project 2, 140 hours; and project 3, 160 hours. The amount per hour that can be billed for assigning each auditor to each project is given in table below. Formulate an LP to maximize total billings for Touche Young during the next month.
a) Define the decision variables? How many decision variables are there in total?
b) What is the objective function?
c) What are the constraints including the sign and type restrictions?
d) Setup the spreadsheet model in Excel and solve it.
A sample of students were asked to rank their looks compared to the looks of others on a scale from 1 to 10. A 10 means they feel they are more attractive than everyone else while a 1 means they feel they are less attractive than everyone else. Th..
a student randomly guesses the answers to six questions truefalse quiz. if there is a 50 chance of guessing correctly
Part 1. What is the appropriate distribution for such data? Part 2. Is this lot anomalous?
Number and letter the answers accordingly and keep the problems in order. Use complete and coherent sentences to answer the questions.
Identify and interpret the p-value for the test, then construct and interpret the 90% confidence interval for the difference between the population proportions.
a binomial probability is given. write the probability in words. then use a continuity correction to convert the
A sample of n=10 in each treatment. For this study, the three samples have SS1=10, SS2=20, and SS3=15. What value would be obtained for MSwithin?
1. jim takes a simple random sample of 15 from a very large population whose variance is unknown. she intends to
given a uniform distribution for a random variable x on the interval 1 to 11. what is the probability for x being
A person is considering purchasing the stock of two home health companies that are similar in all respects except the proportion of earnings paid out as dividends.
an airline sells 250 tickets for a certain flight that only has 245 seats. on averageabout 2 of ticket purchasers do
Could such a low average be considered just bad luck or should he be sent back to the minor leagues? Comment on the assumption of Bernoulli trials in this situation.
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