Quantitative Techniques for Business

P

Praveen Singh • 27.80K Points
Instructor II

Q 1. In linear programming, unbounded solution means --------------

(A) Infeasible region
(B) Degenerate solution
(C) Infinite solution
(D) Unique solution

A

Admin • 28.37K Points
Instructor II

Q 2. When the constraints are a mix of ‘less than’ and ‘greater than’ it is called a problem having

(A) Multiple constraints
(B) Infinite constraints
(C) Infeasible region
(D) Mixed constraints

G

Gopal Sharma • 29.31K Points
Instructor II

Q 3. When the feasible region is such that the value of objective function can extended to infinity, it is called a case of ------------

(A) Infeasible region
(B) Alternate optimal
(C) Unbounded solution
(D) Unique solution

P

Priyanka Tomar • 26.64K Points
Instructor II

Q 4. When it is not possible to find solution in LPP, it is called as case of ---------

(A) Unknown solution
(B) Unbounded solution
(C) Infeasible solution
(D) Improper solution

A

Admin • 28.37K Points
Instructor II

Q 5. Region of feasible solution in LPP graphical method is called

(A) Infeasible region
(B) Unbounded region
(C) Infinite region
(D) Feasible region

V

Vinay • 19.69K Points
Tutor I

Q 6. ---------- are the restrictions or limitations imposed on the LPP

(A) Variables
(B) Cost
(C) Profit
(D) Constraints

P

Praveen Singh • 27.80K Points
Instructor II

Q 7. Objective function is expressed in terms of the --------------

(A) Numbers
(B) Symbols
(C) Decision variables
(D) None of the above

R

Ram Sharma • 189.43K Points
Coach

Q 8. ------------ specifies the objective or goal of solving the LPP

(A) Objective function
(B) Decision variables
(C) Constraints
(D) Opportunity cost

V

Vinay • 19.69K Points
Tutor I

Q 9. ----- are the whose values are to be determined from the solution of the LPP

(A) Objective function
(B) Decision variables
(C) Constrains
(D) Opportunity cost

V

Vikash Gupta • 24.92K Points
Instructor III

Q 10. Which of the following are the advantage/s of Decision Trees?

(A) Possible Scenarios can be added
(B) Use a white box model, If given result is provided by a model
(C) Worst, best and expected values can be determined for different scenarios
(D) All of the above