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HSC Science (Electronics) 12th Standard Board Exam - Maharashtra State Board Important Questions for Mathematics and Statistics

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Mathematics and Statistics
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Minimize :Z=6x+4y

Subject to : 3x+2y ≥12

x+y ≥5

0 ≤x ≤4

0 ≤ y ≤ 4 

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Graphical Method of Solving Linear Programming Problems

Minimum and maximum z = 5x + 2y subject to the following constraints:

x-2y ≤ 2

3x+2y ≤ 12

-3x+2y ≤ 3

x ≥ 0,y ≥ 0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Graphical Method of Solving Linear Programming Problems

A company manufactures bicycles and tricycles each of which must be processed through machines A and B. Machine A has maximum of 120 hours available and machine B has maximum of 180 hours available. Manufacturing a bicycle requires 6 hours on machine A and 3 hours on machine B. Manufacturing a tricycle requires 4 hours on machine A and 10 hours on machine B.
If profits are Rs. 180 for a bicycle and Rs. 220 for a tricycle, formulate and solve the L.P.P. to determine the number of bicycles and tricycles that should be manufactured in order to maximize the profit.

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Graphical Method of Solving Linear Programming Problems

Solve the following L. P. P. graphically:Linear Programming

Minimize Z = 6x + 2y

Subject to

5x + 9y ≤ 90

x + y ≥ 4

y ≤ 8

x ≥ 0, y ≥ 0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Graphical Method of Solving Linear Programming Problems

Solve the following LPP by graphical method:

Minimize Z = 7x + y subject to 5x + y ≥ 5, x + y ≥ 3, x ≥ 0, y ≥ 0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Graphical Method of Solving Linear Programming Problems

 Maximize: z = 3x + 5y  Subject to

x +4y ≤ 24                3x + y  ≤ 21 

x + y ≤ 9                     x ≥ 0 , y ≥0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Graphical Method of Solving Linear Programming Problems

Find the feasible solution of the following inequation:

2x + 3y ≤ 6, x + y ≥ 2, x ≥ 0, y ≥ 0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

The company makes concrete bricks made up of cement and sand. The weight of a concrete brick has to be at least 5 kg. Cement costs ₹ 20 per kg and sand costs of ₹ 6 per kg. Strength consideration dictates that a concrete brick should contain minimum 4 kg of cement and not more than 2 kg of sand. Form the L.P.P. for the cost to be minimum.

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

The maximum value of z = 5x + 3y subject to the constraints 3x + 5y ≤ 15, 5x + 2y ≤ 10, x, y ≥ 0 is ______.

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

Solve each of the following inequations graphically using XY-plane:

4x - 18 ≥ 0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

Solve the following LPP:

Minimize z = 4x + 2y

Subject to 3x + y ≥ 27, x + y ≥ 21, x + 2y ≥ 30, x ≥ 0, y ≥ 0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

A firm manufactures two products A and B on which profit earned per unit are ₹ 3 and ₹ 4 respectively. Each product is processed on two machines M1 and M2. The product A requires one minute of processing time on M1 and two minutes of processing time on M2, B requires one minute of processing time on M1 and one minute of processing time on M2. Machine M1 is available for use for 450 minutes while M2 is available for 600 minutes during any working day. Find the number of units of products A and B to be manufactured to get the maximum profit.

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

Objective function of LPP is ______.

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

The feasible region is the set of point which satisfy.

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

Find the graphical solution for the system of linear inequation 2x + y ≤ 2, x − y ≤ 1

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Graphical Method of Solving Linear Programming Problems

Maximize z = 5x + 2y subject to 3x + 5y ≤ 15, 5x + 2y ≤ 10, x ≥ 0, y ≥ 0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

Maximize z = 7x + 11y subject to 3x + 5y ≤ 26, 5x + 3y ≤ 30, x ≥ 0, y ≥ 0

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

Maximize z = 10x + 25y subject to x + y ≤ 5, 0 ≤ x ≤ 3, 0 ≤ y ≤ 3

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

Solve the Linear Programming problem graphically:

Maximize z = 3x + 5y subject to x + 4y ≤ 24, 3x + y ≤ 21, x + y ≤ 9, x ≥ 0, y ≥ 0 also find the maximum value of z.

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)

Minimize z = 7x + y subjected to 5x + y ≥ 5, x + y ≥ 3, x ≥ 0, y ≥ 0.

Appears in 1 question paper
Chapter: [7] Linear Programming
Concept: Linear Programming Problem (L.P.P.)
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