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Business decision model/probability question, please answercorrectly. Question 1 (1 point) The following problem type is such a special case of linear programming that a special

Business decision model/probability question, please answercorrectly.

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Question 1 (1 point) The following problem type is such a special case of linear programming that a special algorithm has been developed to solve it. Q the production mix problem O the diet problem 0 the ingredient mix problem O the transportation problem 0 None of the above Question 10 (2 points) Goal programming and linear programming differ in that O in LP, the objective function is maximized or minimized, while in goal programming, the deviation between goals and possible achievement is minimized. O slack variables are used in LP, while deviational variables are used in goal programming. 0 deviational variables have positive objective function coefficients in goal programming, but slack variables have 0 coefficients in LP. 0 All of the above 0 None of the above Question 26 (1 point) Professor Roman demonstrated a clear personal preference for stochastic modelling over deterministic modelling. Which of the following explains why? 0 The optimal solution is a mirage! O Deterministic models often require unrealistic assumptions. O Stochastic models are better at representing real-world complexities. O Uncertainty is everywhere and always. 0 All of the above. Question 8 (2 points) Shown below is a consistency vector from an Analytic Hierarchy Process analysis. 2.6895 2.5555 2.7985 2.6105 Compute 1. (Also known as X(avg)) Not enough information is given to compute 2.7985 2.6000 10.6540 2.6635Question 9 (2 points) Upon completion of an Analytic Hierarchy Process analysis, the CR = 0.23, thus 0 the decision makers' answers are relatively consistent. O the decision makers should consider reevaluating their pairwise comparisons. 0 no conclusion is available for this value of the CR. 0 the decision maker has made near perfectly consistent pairwise comparisons. 0 None of the above

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