Author Question: In order to choose the best solution for implementation, practitioners usually recommend re-solving ... (Read 103 times)

cdr_15 · **on:** Jun 24, 2018

In order to choose the best solution for implementation, practitioners usually recommend re-solving the integer linear program several times with variations in the
a. objective function.
b. decision variables.
c. constraint coefficients.
d. integer constraints.

Question 2

You are _______________ to commit a Type I error using the 0.05 level of significance than using the 0.01 level of significance.
a. more likely
b. less likely
c. equally likely
d. twice as likely

wuly · **Reply #1 on:** Jun 24, 2018

Answer to Question 1

c
RATIONALE: Because of the extreme sensitivity of the value of the optimal solution to the constraint coefficients, practitioners usually recommend re-solving the integer linear program several times with variations in the constraint coefficients before attempting to choose the best solution for implementation.

Answer to Question 2

a
RATIONALE: You are more likely to commit a Type I error (rejecting a true null hypothesis) using the 0.05 level of significance than using the 0.01 level of significance. The probability of making a Type I error is equal to a, the significance level of the test. If a = 0.05 then you have a 5 chance of making a Type I error. If a = 0.01, then you have a 1 chance of making a Type I error.