Sensitivity Analysis in Linear Programming Is Used To

question 20

Multiple Choice

Sensitivity analysis in linear programming is used to:

• A) Determine the degree that the constraints vary.
• B) Test the accuracy of the parameters in a model.
• C) Develop the technical matrix used to determine the optimal solution.
• D) Determine whether and how the optimal decision would change in response to changes in the parameters in the model.
• E) Develop objective function coefficients.

---

Definitions:

Susceptibility

The likelihood or predisposition of an individual or population to be affected by a disease or condition based on genetic or environmental factors.

Codominance

Condition in which two alleles of a locus are expressed in a heterozygote.

Incomplete Dominance

A genetic occurrence in which the trait exhibited by a heterozygous individual is a blend of the traits from both homozygous parents.

Epistasis

An interaction between genes in which the effect of one gene is modified or completely masked by another gene.