Question 1

In using Excel to solve linear programming problems,the changing cells represent the:

Accepted Answer

A)  value of the objective function 
B)  constraints 
C)  decision variables 
D)  total cost of the model 
A)  value of the objective function 
B)  constraints 
C)  decision variables 
D)  total cost of the model

Question 2

If a solution to an LP problem satisfies all of the constraints,then is must be feasible.

Accepted Answer

A) True 
 B)False

Question 3

If a constraint has the equation $20 x + 10 y \leq 1000$ ,then the slope of the constraint line is function line is -2:

Accepted Answer

A) True 
 B)False

Question 4

Suppose the allowable increase and decrease for shadow price for a constraint are $25 (increase)and $10 (decrease).If the right hand side of that constraint were to increase by $10 the optimal value of the objective function would change.

Accepted Answer

A) True 
 B)False

Question 5

Unboundedness refers to the situation in which the LP model has been formulated in such a way that the objective function is unbounded - that is,it can be made as large (for maximization problems)or as small (for minimization problems)as we like.

Accepted Answer

A) True 
 B)False

Question 6

If the objective function has the equation $\min \{ 4 x + 2 y \}$ ,then the slope of the objective function line is 2:

Accepted Answer

A) True 
 B)False

Question 7

In most cases in solving linear programming problems,we want the decision variables to be:

Accepted Answer

A)  equal to zero 
B)  nonnegative 
C)  nonpositive 
D)  All of these options 
A)  equal to zero 
B)  nonnegative 
C)  nonpositive 
D)  All of these options

Question 8

The prototype linear programming problem is to select an optimal mix of products to produce to maximize profit.This type of problem is referred to as the:

Accepted Answer

A)  product mix problem 
B)  production problem 
C)  product/process problem 
D)  product scheduling problem 
A)  product mix problem 
B)  production problem 
C)  product/process problem 
D)  product scheduling problem

Question 9

If the objective function has the equation $\min \{ 15 x + 25 y \}$ ,then the y-intercept of the objective function line is 40:

Accepted Answer

A) True 
 B)False

Question 10

When formulating a linear programming spreadsheet model,we specify the constraints in a Solver dialog box,since Excel does not show the constraints directly.

Accepted Answer

A) True 
 B)False

In using Excel to solve linear programming problems,the changing cells represent the:

If a solution to an LP problem satisfies all of the constraints,then is must be feasible.

If a constraint has the equation $20 x + 10 y \leq 1000$ ,then the slope of the constraint line is function line is -2:

Suppose the allowable increase and decrease for shadow price for a constraint are $25 (increase)and $10 (decrease).If the right hand side of that constraint were to increase by $10 the optimal value of the objective function would change.

Unboundedness refers to the situation in which the LP model has been formulated in such a way that the objective function is unbounded - that is,it can be made as large (for maximization problems)or as small (for minimization problems)as we like.

If the objective function has the equation $\min \{ 4 x + 2 y \}$ ,then the slope of the objective function line is 2:

In most cases in solving linear programming problems,we want the decision variables to be:

The prototype linear programming problem is to select an optimal mix of products to produce to maximize profit.This type of problem is referred to as the:

If the objective function has the equation $\min \{ 15 x + 25 y \}$ ,then the y-intercept of the objective function line is 40:

When formulating a linear programming spreadsheet model,we specify the constraints in a Solver dialog box,since Excel does not show the constraints directly.

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

Exam 13: Introduction to Optimization Modeling

In using Excel to solve linear programming problems,the changing cells represent the:

If a solution to an LP problem satisfies all of the constraints,then is must be feasible.

If a constraint has the equation 20x+10y≤100020 x + 10 y \leq 100020x+10y≤1000 ,then the slope of the constraint line is function line is -2:

Suppose the allowable increase and decrease for shadow price for a constraint are $25 (increase)and $10 (decrease).If the right hand side of that constraint were to increase by $10 the optimal value of the objective function would change.

Unboundedness refers to the situation in which the LP model has been formulated in such a way that the objective function is unbounded - that is,it can be made as large (for maximization problems)or as small (for minimization problems)as we like.

If the objective function has the equation min⁡{4x+2y}\min \{ 4 x + 2 y \}min{4x+2y} ,then the slope of the objective function line is 2:

In most cases in solving linear programming problems,we want the decision variables to be:

The prototype linear programming problem is to select an optimal mix of products to produce to maximize profit.This type of problem is referred to as the:

If the objective function has the equation min⁡{15x+25y}\min \{ 15 x + 25 y \}min{15x+25y} ,then the y-intercept of the objective function line is 40:

When formulating a linear programming spreadsheet model,we specify the constraints in a Solver dialog box,since Excel does not show the constraints directly.

Introduction to Data Analysis and Decision Making

Describing the Distribution of a Single Variable

Finding Relationships Among Variables

Probability and Probability Distributions

Normal, Binomial, Poisson, and Exponential Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Importing Data Into Excel

Analysis of Variance and Experimental Design

Statistical Process Control

Filters

If a constraint has the equation $20 x + 10 y \leq 1000$ ,then the slope of the constraint line is function line is -2:

If the objective function has the equation $\min \{ 4 x + 2 y \}$ ,then the slope of the objective function line is 2:

If the objective function has the equation $\min \{ 15 x + 25 y \}$ ,then the y-intercept of the objective function line is 40: