Find here the NCERT chapter-wise Multiple Choice Questions from Class 12 Mathematics book Chapter 12 Linear Programming with Answers Pdf free download. This may assist you to understand and check your knowledge about the chapters. Students also can take a free test of the Multiple Choice Questions of Linear Programming. Each question has four options followed by the right answer. These MCQ Questions are selected supported by the newest exam pattern as announced by CBSE.
NCERT MCQ Chapters for Class 12 Mathematics
Q1. Objective function of a linear programming problem is
(i) a constraint
(ii) function to be obtimized
(iii) A relation between the variables
(iv) None of these
(ii) function to be obtimized
Q2. The maximum value of f = 4x + 3y subject to constraints x ≥ 0, y ≥ 0, 2x + 3y ≤ 18; x + y ≥ 10 is
(i) 35
(ii) 36
(iii) 34
(iv) none of these
(iv) none of these
Q3. In a LPP, the objective function is always
(i) Linear
(ii) Quadratic
(iii) Cubic
(iv) Biquadratic
(i) Linear
Q4. Z = 7x + y, subject to 5x + y ≥ 5, x + y ≥ 3, x ≥ 0, y ≥ 0. The minimum value of Z occurs at
(i) (3, 0)
(ii) (1/2, 5/2)
(iii) (7, 0)
(iv) (0, 5)
(iv) (0, 5)
Q5. The maximum value of the object function Z = 5x + 10 y subject to the constraints x + 2y ≤ 120, x + y ≥ 60, x – 2y ≥ 0, x ≥ 0, y ≥ 0 is
(i) 300
(ii) 600
(iii) 400
(iv) 800
(ii) 600
Q6. The optimal value of the objective function is attained at the points
(i) on X-axis
(ii) on Y-axis
(iii) which are comer points of the feascible region
(iv) none of these
(iii) which are comer points of the feascible region
Q7. The corner points of the bounded feasible region of a LPP are A(0,50), B(20, 40), C(50, 100) and D(0, 200) and the objective function is Z = x + 2y. Then the maximum value is
(i) 400
(ii) 250
(iii) 450
(iv) 100
(i) 400
Q8. Objective function of a L.P.P.is
(i) a constant
(ii) a function to be optimised
(iii) a relation between the variables
(iv) none of these
(ii) a function to be optimized
Q9. In equation 3x – y ≥ 3 and 4x – 4y > 4
(i) Have solution for positive x and y
(ii) Have no solution for positive x and y
(iii) Have solution for all x
(iv) Have solution for all y
(i) Have solution for positive x and y
Q10. Region represented by x ≥ 0, y ≥ 0 is
(i) first quadrant
(ii) second quadrant
(iii) third quadrant
(iv) fourth quadrant
(i) first quadrant
Q11. A feasible solution to a linear programming problem
(i) Must satisfy all of the problem’s constraints simultaneously
(ii) Need not satisfy all of the constraints, only the non-negativity constraints
(iii) Must be a corner point of the feasible region
(iv) Must give the maximum possible profit
(i) Must satisfy all of the problem’s constraints simultaneously
Q12. minimize f = 6x + 10y subject to constraints x ≥ 6, y ≥ 2, 2x + y ≥ 10, x ≥ 0, y ≥ 0” redundant constraints are
(i) x ≥ 6, y ≥ 2
(ii) 2x + y ≥ 10, x ≥ 0, y ≥ 0
(iii) x ≥ 6
(iv) none of these
(ii) 2x + y ≥ 10, x ≥ 0, y ≥ 0
Q13. Maximize Z = 11 x + 8y subject to x ≤ 4, y ≤ 6, x + y ≤ 6, x ≥ 0, y ≥ 0.
(i) 44 at (4, 2)
(ii) 60 at (4, 2)
(iii) 62 at (4, 0)
(iv) 48 at (4, 2)
(ii) 60 at (4, 2)
Q14. The minimum value of Z = 4x + 3y subjected to the constraints 3x + 2y ≥ 160, 5 + 2y ≥ 200, 2y ≥ 80; x, y ≥ 0 is
(i) 220
(ii) 300
(iii) 230
(iv) none of these
(i) 220
Q15. In maximization problem, optimal solution occurring at corner point yields the
(i) highest value of z
(ii) lowest value of z
(iii) mid values of z
(iv) mean values of z
(i) highest value of z
Q16. Maximize Z = 11x + 8y, subject to x ≤ 4, y ≤ 6, x ≥ 0, y ≥ 0.
(i) 44 at (4, 2)
(ii) 60 at (4, 2)
(iii) 62 at (4, 0)
(iv) 48 at (4, 2)
(ii) 60 at (4, 2)
Q17. Maximize Z = 3x + 5y, subject to x + 4y ≤ 24, 3x + y ≤ 21, x + y ≤ 9, x ≥ 0, y ≥ 0.
(i) 20 at (1, 0)
(ii) 30 at (0, 6)
(iii) 37 at (4, 5)
(iv) 33 at (6, 3)
(iii) 37 at (4, 5)
Q18. Maximize Z = 10×1 + 25×2, subject to 0 ≤ x1 ≤ 3, 0 ≤ x2 ≤ 3, x1 + x2 ≤ 5.
(i) 80 at (3, 2)
(ii) 75 at (0, 3)
(iii) 30 at (3, 0)
(iv) 95 at (2, 3)
(iv) 95 at (2, 3)
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MCQ Questions for Class 12 Mathematics Chapter wise with Answers
- Lesson 1. Relations and Functions MCQs
- Lesson 2. Inverse Trigonometric Functions MCQs
- Lesson 3. Matrices MCQs
- Lesson 4. Determinants MCQs
- Lesson 5. Continuity and Differentiability MCQs
- Lesson 6. Application of Derivatives MCQs
- Lesson 7. Integrals MCQs
- Lesson 8. Application of Integrals MCQs
- Lesson 9. Differential Equations MCQs
- Lesson 10. Vector Algebra MCQs
- Lesson 11. Three Dimensional Geometry MCQs
- Lesson 12. Linear Programming MCQs
- Lesson 13. Probability MCQs