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Marc Hernandez's construction firm currently has three projects in progress. Each requires a specific supply of gravel. There are three gravel pits available to provide for Hernandez's needs, but shipping cost differ from location to location. The following table summarize the transportation costs (per ton): To: From Job 1 Job 2 Job 3 Central pit $9 $8 $7 Rock pit $7 $11 $6 Acme pit $4 $3 $2 The job requirements (tons) for the three jobs are 2500, 3750, and 4850, respectively. The tonnage allowance at the three pits are 3000, 4000, and 6000 tons for Central, Rock and Acme, respectively. Hernandez's optimization problem is to find the optimal shipping quantities so as to minimize total transportation costs. Formulate the problem and solve it using Solver. Report the minimum transportation cost. Set up LP models (decision variables, objective function, and constraints) first. Then solve using a spreadsheet model. Determine Hernandez's optimal shipping quantities so as to minimize total transportation costs.
If Weight 1 is the weight (in pounds) of a random sample of five men who were accepted as models, and Weight 2 is the weight (in pounds) of a random sample of five men who were rejected as models, which of the following is the appropriate inferenc..
What factors determine how happy workers are in their jobs and use the following data and multiple regression to produce a model to predict employee satisfaction
At the heart of quantitative research is regression analysis. A regression model simply measures the association of two variables - variation: the dependent variable's observed value
Their resting heart rates were measured. A partial ANOVA table is given.
Assuming that this procedure yields a binomial distribution, find the mean and the standard deviation for the number of households in this sample who have cable TV.
What are the probabilities of accepting lots that are 10 percent, 20 percent, and 30 percent defective? Estimate the probability of accepting a lot that is 15 percent defective.
The "t-statistic" for testing whether the slope parameter was unity or not was -3.6. What is the estimated standard error for the estimated slope coefficient?
Percentage points in either direction from what would have been obtained by interviewing all voters in the United States." Find the sample size suggested by this statement.
In trying to estimate the amount of growth that took place in the trees recently planted by the county parks commission
Is spine bone density is normally distributed in young women with a mean of 1.0 g/cm 2 and a standard deviation of .10 g/cm 2 , then how many young women out of 100 would you expect to have bone densities less than .85 g/cm 2 ?
State the null hypothesis and the alternative hypothesis and compute the value of the test statistic and what is your decision regarding the null hypothesis?
In the context of this scenario, what would be the consequences of making a Type I error?
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