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Linear Programming Examples MCQs: Questions and Answers PDF Download
The objective of linear programming for an objective function is to
- maximize or minimize
- subset or proper set modeling
- row or column modeling
- adjacent modeling
For a linear programming equations, the convex set of equations is included in the region of
- feasible solutions
- disposed solutions
- profit solutions
- loss solutions
In the graphical solutions of linear inequalities, the solution can be divided into
- one subset
- two subsets
- three subsets
- four subsets
The linear programming used to optimize mathematical procedure and is
- subset of mathematical programming
- dimension of mathematical programming
- linear mathematical programming
- all of above
In linear programming, the objective function and objective constraints are
- solved
- linear
- quadratic
- adjacent
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Business Statistics Practice Questions
Business Mathematics Practice Tests
Business Statistics MCQ Questions
- Area diagrams and surface diagrams are other names of
- If value of p is 0.60 and value of n is 3 whereas random variable x is equal to 4 then value of z-score of distribution is
- Theorem which states that as sample size increases sampling distribution must approach normal distribution is classified as
- Condition for negative exponential distribution considering mean (μ) is that
- Halfway point between lower class limits and upper class limits is classified as
Linear Programming Examples MCQs Book Questions
- Point in parabola where it passes through y-axis is classified as
- For linear inequalities, solution set for a group of inequalities is classified as
- Additional revenue gained from selling one more unit of market offering is considered as
- In function quantity = ƒ(price per unit), independent variable is
- Variable in dual problem which can assume negative values, positive values or zero values is classified as