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Arts (English Medium) Class 12 - CBSE Important Questions for Mathematics

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Solve the following linear programming problem graphically:

Maximize: Z = x + 2y

Subject to constraints:

x + 2y ≥ 100,

2x – y ≤ 0

2x + y ≤ 200,

x ≥ 0, y ≥ 0.

Appears in 1 question paper
Chapter: [12] Linear Programming
Concept: Methods to Solve LPP (Graphical / Corner Point Method)

Solve the following Linear Programming problem graphically:

Maximize: Z = 3x + 3.5y

Subject to constraints:

x + 2y ≥ 240,

3x + 1.5y ≥ 270,

1.5x + 2y ≤ 310,

x ≥ 0, y ≥ 0.

Appears in 1 question paper
Chapter: [12] Linear Programming
Concept: Methods to Solve LPP (Graphical / Corner Point Method)

Solve the following Linear Programming Problem graphically:

Minimize: Z = 60x + 80y

Subject to constraints:

3x + 4y ≥ 8

5x + 2y ≥ 11

x, y ≥ 0

Appears in 1 question paper
Chapter: [12] Linear Programming
Concept: Methods to Solve LPP (Graphical / Corner Point Method)

The feasible region corresponding to the linear constraints of a Linear Programming Problem is given below.


Which of the following is not a constraint to the given Linear Programming Problem?

Appears in 1 question paper
Chapter: [12] Linear Programming
Concept: Methods to Solve LPP (Graphical / Corner Point Method)

Solve the following Linear Programming Problem graphically:

Minimize: z = x + 2y,

Subject to the constraints: x + 2y ≥ 100, 2x – y ≤ 0, 2x + y ≤ 200, x, y ≥ 0.

Appears in 1 question paper
Chapter: [12] Linear Programming
Concept: Methods to Solve LPP (Graphical / Corner Point Method)

Solve the following Linear Programming Problem graphically:

Maximize: z = – x + 2y,

Subject to the constraints: x ≥ 3, x + y ≥ 5, x + 2y ≥ 6, y ≥ 0.

Appears in 1 question paper
Chapter: [12] Linear Programming
Concept: Methods to Solve LPP (Graphical / Corner Point Method)

A speaks truth in 60% of the cases, while B in 90% of the cases. In what percent of cases are they likely to contradict each other in stating the same fact? In the cases of contradiction do you think, the statement of B will carry more weight as he speaks truth in more number of cases than A?

Appears in 1 question paper
Chapter: [13] Probability
Concept: Independent Events

Assume that the chances of a patient having a heart attack is 40%. Assuming that a meditation and yoga course reduces the risk of heart attack by 30% and prescription of certain drug reduces its chance by 25%. At a time a patient can choose any one of the two options with equal probabilities. It is given that after going through one of the two options, the patient selected at random suffers a heart attack. Find the probability that the patient followed a course of meditation and yoga. Interpret the result and state which of the above stated methods is more beneficial for the patient.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability

In a game, a man wins Rs 5 for getting a number greater than 4 and loses Rs 1 otherwise, when a fair die is thrown. The man decided to thrown a die thrice but to quit as and when he gets a number greater than 4. Find the expected value of the amount he wins/loses

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability

A bag contains 4 balls. Two balls are drawn at random (without replacement) and are found to be white. What is the probability that all balls in the bag are white?

Appears in 1 question paper
Chapter: [13] Probability
Concept: Independent Events

A die is thrown three times. Events A and B are defined as below:
A : 5 on the first and 6 on the second throw.
B: 3 or 4 on the third throw.

Find the probability of B, given that A has already occurred.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability

40% students of a college reside in hostel and the remaining reside outside. At the end of the year, 50% of the hostelers got A grade while from outside students, only 30% got A grade in the examination. At the end of the year, a student of the college was chosen at random and was found to have gotten A grade. What is the probability that the selected student was a hosteler ?

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability

A bag X contains 4 white balls and 2 black balls, while another bag Y contains 3 white balls and 3 black balls. Two balls are drawn (without replacement) at random from one of the bags and were found to be one white and one black. Find the probability that the balls were drawn from bag Y.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability

Evaluate P(A ∪ B), if 2P(A) = P(B) = `5/13` and P(A | B) = `2/5`

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability

A fair coin and an unbiased die are tossed. Let A be the event ‘head appears on the coin’ and B be the event ‘3 on the die’. Check whether A and B are independent events or not.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Independent Events

A manufacturer has three machine operators A, B and C. The first operator A produces 1% defective items, where as the other two operators B and C produce 5% and 7% defective items respectively. A is on the job for 50% of the time, B is on the job for 30% of the time and C is on the job for 20% of the time. A defective item is produced, what is the probability that was produced by A?

Appears in 1 question paper
Chapter: [13] Probability
Concept: Bayes’ Theorem

If P(A) = 0·4, P(B) = p, P(A ⋃ B) = 0·6 and A and B are given to be independent events, find the value of 'p'.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Independent Events

A box has 20 pens of which 2 are defective. Calculate the probability that out of 5 pens drawn one by one with replacement, at most 2 are defective.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability

Three machines E1, E2 and E3 in a certain factory producing electric bulbs, produce 50%, 25% and 25% respectively, of the total daily output of electric bulbs. It is known that 4% of the bulbs produced by each of machines E1 and E2are defective and that 5% of those produced by machine E3 are defective. If one bulb is picked up at random from a day's production, calculate the probability that it is defective.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Bayes’ Theorem

Three cards are drawn at random (without replacement) from a well-shuffled pack of 52 playing cards. Find the probability distribution of the number of red cards. Hence, find the mean of the distribution.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability
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