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Tamil Nadu Board of Secondary EducationHSC Commerce इयत्ता ११

HSC Commerce इयत्ता ११ - Tamil Nadu Board of Secondary Education Question Bank Solutions for Business Mathematics and Statistics

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Business Mathematics and Statistics
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Draw the graph of the following function:

f(x) = e2x

[5] Differential Calculus
Chapter: [5] Differential Calculus
Concept: undefined >> undefined

Draw the graph of the following function:

f(x) = e-2x

[5] Differential Calculus
Chapter: [5] Differential Calculus
Concept: undefined >> undefined

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Draw the graph of the following function:

f(x) = `|x|/x`

[5] Differential Calculus
Chapter: [5] Differential Calculus
Concept: undefined >> undefined

Solve the following linear programming problems by graphical method.

Maximize Z = 6x1 + 8x2 subject to constraints 30x1 + 20x2 ≤ 300; 5x1 + 10x2 ≤ 110; and x1, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Solve the following linear programming problems by graphical method.

Maximize Z = 22x1 + 18x2 subject to constraints 960x1 + 640x2 ≤ 15360; x1 + x2 ≤ 20 and x1, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Solve the following linear programming problems by graphical method.

Minimize Z = 3x1 + 2x2 subject to the constraints 5x1 + x2 ≥ 10; x1 + x2 ≥ 6; x1 + 4x2 ≥ 12 and x1, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Solve the following linear programming problems by graphical method.

Maximize Z = 40x1 + 50x2 subject to constraints 3x1 + x2 ≤ 9; x1 + 2x2 ≤ 8 and x1, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Solve the following linear programming problems by graphical method.

Maximize Z = 20x1 + 30x2 subject to constraints 3x1 + 3x2 ≤ 36; 5x1 + 2x2 ≤ 50; 2x1 + 6x2 ≤ 60 and x1, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Solve the following linear programming problems by graphical method.

Minimize Z = 20x1 + 40x2 subject to the constraints 36x1 + 6x2 ≥ 108; 3x1 + 12x2 ≥ 36; 20x1 + 10x2 ≥ 100 and x1, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Maximize: z = 3x1 + 4x2 subject to 2x1 + x2 ≤ 40, 2x1 + 5x2 ≤ 180, x1, x2 ≥ 0. In the LPP, which one of the following is feasible comer point?

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

A solution which maximizes or minimizes the given LPP is called

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

In the given graph the coordinates of M1 are

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

The maximum value of the objective function Z = 3x + 5y subject to the constraints x ≥ 0, y ≥ 0 and 2x + 5y ≤ 10 is:

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

The minimum value of the objective function Z = x + 3y subject to the constraints 2x + y ≤ 20, x + 2y ≤ 20, x > 0 and y > 0 is

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Given an L.P.P maximize Z = 2x1 + 3x2 subject to the constrains x1 + x2 ≤ 1, 5x1 + 5x2 ≥ 0 and x1 ≥ 0, x2 ≥ 0 using graphical method, we observe

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

A firm manufactures two products A and B on which the profits earned per unit are ₹ 3 and ₹ 4 respectively. Each product is processed on two machines M1 and M2. Product A requires one minute of processing time on M1 and two minutes on M2, While B requires one minute on M1 and one minute on M2. Machine M1 is available for not more than 7 hrs 30 minutes while M2 is available for 10 hrs during any working day. Formulate this problem as a linear programming problem to maximize the profit.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

A firm manufactures pills in two sizes A and B. Size A contains 2 mgs of aspirin, 5 mgs of bicarbonate and 1 mg of codeine. Size B contains 1 mg. of aspirin, 8 mgs. of bicarbonate and 6 mgs. of codeine. It is found by users that it requires at least 12 mgs. of aspirin, 74 mgs. of bicarbonate and 24 mgs. of codeine for providing immediate relief. It is required to determine the least number of pills a patient should take to get immediate relief. Formulate the problem as a standard LLP.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Solve the following linear programming problem graphically.

Maximise Z = 4x1 + x2 subject to the constraints x1 + x2 ≤ 50; 3x1 + x2 ≤ 90 and x1 ≥ 0, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Solve the following linear programming problem graphically.

Minimize Z = 200x1 + 500x2 subject to the constraints: x1 + 2x2 ≥ 10; 3x1 + 4x2 ≤ 24 and x1 ≥ 0, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined

Solve the following linear programming problem graphically.

Maximize Z = 3x1 + 5x2 subject to the constraints: x1 + x2 ≤ 6, x1 ≤ 4; x2 ≤ 5, and x1, x2 ≥ 0.

[10] Operations Research
Chapter: [10] Operations Research
Concept: undefined >> undefined
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