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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

An insurance company insured 2000 scooter drivers, 4000 car drivers and 6000 truck drivers. The probabilities of an accident for them are 0.01, 0.03 and 0.15, respectively. One of the insured persons meets with an accident. What is the probability that he is a scooter driver or a car driver?

Appears in 1 question paper
Chapter: [13] Probability
Concept: Bayes’ Theorem
CASE-BASED/DATA-BASED
An insurance company believes that people can be divided into two classes: those who are accident prone and those who are not. The company’s statistics show that an accident-prone person will have an accident at some time within a fixed one-year period with a probability 0.6, whereas this probability is 0.2 for a person who is not accident prone. The company knows that 20 percent of the population is accident prone.

Based on the given information, answer the following questions.

  1. What is the probability that a new policyholder will have an accident within a year of purchasing a policy?
  2. Suppose that a new policyholder has an accident within a year of purchasing a policy. What is the probability that he or she is accident prone?
Appears in 1 question paper
Chapter: [13] Probability
Concept: Bayes’ Theorem

Given two independent events A and B such that P(A) = 0.3, P(B) = 0.6 and P(A' ∩ B') is ______.

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

In a factory, machine A produces 30% of total output, machine B produces 25% and the machine C produces the remaining output. The defective items produced by machines A, B and C are 1%,1.2%, 2% respectively. An item is picked at random from a day's output and found to be defective. Find the probability that it was produced by machine B?

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

There are two boxes, namely box-I and box-II. Box-I contains 3 red and 6 black balls. Box-II contains 5 red and 5 black balls. One of the two boxes, is selected at random and a ball is drawn at random. The ball drawn is found to be red. Find the probability that this red ball comes out from box-II.

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

If A and B are two events such that `P(A/B) = 2 xx P(B/A)` and P(A) + P(B) = `2/3`, then P(B) is equal to ______.

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

If for two events A and B, P(A – B) = `1/5` and P(A) = `3/5`, then `P(B/A)` is equal to ______.

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

If A and B are two independent events such that P(A) = `1/3` and P(B) = `1/4`, then `P(B^'/A)` is ______.

Appears in 1 question paper
Chapter: [13] Probability
Concept: Conditional Probability
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CBSE Arts (English Medium) इयत्ता १२ Important Questions
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Accountancy
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Business Studies
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Computer Science (Python)
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Economics
Important Questions for CBSE Arts (English Medium) इयत्ता १२ English Core
Important Questions for CBSE Arts (English Medium) इयत्ता १२ English Elective - NCERT
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Entrepreneurship
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Geography
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Hindi (Core)
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Hindi (Elective)
Important Questions for CBSE Arts (English Medium) इयत्ता १२ History
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Informatics Practices
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Mathematics
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Physical Education
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Political Science
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Psychology
Important Questions for CBSE Arts (English Medium) इयत्ता १२ Sociology
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