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Embassy Motorcycles (EM) manufactures two lightweight motorcycles designed for easy handling and safety. The EZ-Rider model has a new engine and a low profie that make it easy to balance. The Lady-Sport model is slightly larger, uses a more traditional engine, and is specifically designed to appeal to women riders. Embassy produces the engines for both models at its Des Moines, Iowa, plant. Each EZ-Rider engine requires 6 hours of manufacturing time and each Lady-Sport engine requires 3 hours of manufacturing time. The Des Moines plant has 2100 hours of engines manufacturing time available for the next production period. Embassy's motorcycle frame suppliers can supply as many EZ-Rider frames as needed. However, the Lady-Sport frame is more complex and can only provide up to 280 Lady-Sports frame for the next production period. Final assembly and testing requires 2 hours for each EZ-Rider model and 2.5 hours for each Lady-Sport model. A maximum of 1000 hours of assembly and testing time are available for the next production. The company's accounting department projects a profit contribution of $2400 for each EZ-Rider produced and $1800 for each Lady-Sport produced.
a. Formulate a linear programming model that can be used to determine the number of units each model that should be produced in order to maximize the total contribution to profit
b. Solve the problem graphically. What is the optimal solution?
c. which contraints are binding?
Use the list of random digits below to assign 4 men and 2 women to the shark fin treatment. Read the table from left to right, first selecting the 4 men and then the 2 women. Use the numerical labels given in the chart to the names.
Each of four tasters picks one coffee anyway (not knowing which is which, because the coffee is in identical cups). What is the probability that a) All four tasters choose Tasty Bean?
Based on your experience using ANOVA and Nonparametric tests, what additional information would you recommend to the key decision maker solve the challenges given in a company that provides software solutions to wide range of clients?
Using equation presented calculate SST,SSE and SSr. Determine least squares regression line for this data.
From the above function, it can be said that the expected yearly income of and find the multiple coefficient of determination
For the following scores, find the: A. Mean. B Median. C. Sum of squared deviation. D. Variance. E. Standard deviation.
Compare value of test statistics F obtained in part(2) with value of t 2 , square of test statistic for testing H 0 : β 1 =0 that was needed in test null hypothesis that true slope is 0. Interpret the results of this test.
Analyze the data using linear contrasts to make the following comparisons:
Assume the population standard deviations are not the same. At the .05 significance level, is there a difference in the mean waiting time?
If the value of the standard normal random variable Z is positive, then the original score is where in relationship to the mean?
The professor wishes to use a random-number table to determine which letter choice should correspond to the correct answer for a question.
Below are the sample times in minutes. At the .05 significance level, can we conclude that there is a difference in their mean times?
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