मराठी

Arts (English Medium) इयत्ता १२ - CBSE Important Questions

Advertisements
विषय
अध्याय
विषय
मुख्य विषय
अध्याय

Please select a subject first

Advertisements
Advertisements
< prev  2461 to 2480 of 3046  next > 

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

A problem in Mathematics is given to three students whose chances of solving it are `1/2, 1/3, 1/4` respectively. If the events of their solving the problem are independent then the probability that the problem will be solved, is ______.

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

Read the following passage and answer the questions given below:

In an Office three employees Jayant, Sonia and Oliver process incoming copies of a certain form. Jayant processes 50% of the forms, Sonia processes 20% and Oliver the remaining 30% of the forms. Jayant has an error rate of 0.06, Sonia has an error rate of 0.04 and Oliver has an error rate of 0.03.

Based on the above information, answer the following questions.

  1. Find the probability that Sonia processed the form and committed an error.
  2. Find the total probability of committing an error in processing the form.
  3. The manager of the Company wants to do a quality check. During inspection, he selects a form at random from the days output of processed form. If the form selected at random has an error, find the probability that the form is not processed by Jayant.
    OR
    Let E be the event of committing an error in processing the form and let E1, E2 and E3 be the events that Jayant, Sonia and Oliver processed the form. Find the value of `sum_(i = 1)^3P(E_i|E)`.
Appears in 1 question paper
Chapter: [13] Probability
Concept: Multiplication Theorem of Probability

Knock-out tournament is also known as ______.

Appears in 1 question paper
Chapter: [1] Management of Sporting Events
Concept: Procedure for Drawing Knock - Out Fixture

Briefly explain the functions of Directing to organize sports event.

Appears in 1 question paper
Chapter: [1] Management of Sporting Events
Concept: Functions of Sports Events Management
< prev  2461 to 2480 of 3046  next > 
Advertisements
Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×