# SAINT COM315 MODULE 1 and module 2 discussions

1. What is the difference between a deterministic variable versus a probabilistic variable?2. What makes one model deterministic and another model probabilistic? Give examples.3. Identify and discuss the steps in the decision modeling process. Give examples.4. How do we use the information about machine capacity in Part A of Sample Problem 1-29?5. What would the revenues be for part A and B in Problem 1-29? How did you calculate it?6. What would the profits be for each machine in part C in Problem 1-29? How did you calculate it?module 2Please use one of the following discussion questions to discuss. please try not to repeat question that another student may have already discussed.unless, off course, all questions have been discussed.1)In reference to sample problem 2-23, explain how the constraint equation P â 5I <= 0 was derived from the statement, âIt has been agreed that the number of print media ads will be no more than five times the number of Internet bursts.2)In reference to sample problem 2-23, explain one of the Excel equations in column D.3)In reference to the sample problem 2-23, go to the Data tab and select one of the Solver parameters and explain how Solver uses it in solving the problem.4)What is an unbounded solution and under what conditions is it possible?5)Explain the fact that a linear programming problem can have an infinite number of solutions.6)What are the assumptions of a linear programming model?7)Discuss an assumption of a linear programming model and how the assumption would be violated.8)Identify four special situations that can be encountered in a linear programming problem.9)Discuss one of the four special circumstances that can be encountered in a linear programming problem. Give an example.