Author Question: The importance of _________ for integer linear programming problems is often intensified by the fact ... (Read 186 times)

silviawilliams41 · **on:** Jun 24, 2018

The importance of _________ for integer linear programming problems is often intensified by the fact that a small change in one of the coefficients in the constraints can cause a relatively large change in the value of the optimal solution.
a. objective function
b. decision variables
c. sensitivity analysis
d. optimization analysis

Question 2

Which statement is NOT true?
a. The greater the level of confidence, the more likely it is that the confidence interval actually includes the true population mean.
b. The greater the level of confidence, the larger the z-score.
c. The greater the level of confidence, the wider the confidence interval.
d. Rejecting the null hypothesis when it is true is a Type II error.

Jsherida · **Reply #1 on:** Jun 24, 2018

Answer to Question 1

c
RATIONALE: Sensitivity analysis often is more crucial for integer linear programming problems than for linear programming problems. A small change in one of the coefficients in the constraints can cause a relatively large change in the value of the optimal solution.

Answer to Question 2

d
RATIONALE: Rejecting the null hypothesis when it is true is a Type I error.