MCQ Quiz on Class 12 Maths Chapter 13 Probability with Answers

We have compiled the MCQ Questions for Class 12 Maths Chapter 13 Probability with Answers Pdf free download covering the entire syllabus for JEE and Boards. Practice MCQ Questions for Class 12 Maths with Answers on a daily basis and score well in exams. Refer to the Probability Class 12 MCQs Quiz Questions with Answers here along with a detailed explanation

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Probability Class 12 MCQs Questions with Answers

MCQ Questions for Class 12 Maths Chapter 13 Probability with Answers

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1. An urn contains five balls. Two balls are drawn and found to be white. The probability that all the balls are white is:​

 
 
 
 

2.

 
 
 
 

3. If two events are independent, then

 
 
 
 

4. Let E and F be events of a sample space S of an experiment, then P(E’/F) = ___

 
 
 
 

5. The probability of a man hitting a target is 1/4. How many times must he fire so that the probability of his hitting the target at least once is greater than 2/3?

 
 
 
 

6. An experiment has 10 equally likely outcomes. Let A and B be two non-empty events of the experiment. A consists 4 outcomes, the number of outcomes that B must have so that A and B are independent is

 
 
 
 

7. If P(a) = 0,4, P(b) = 0.8 and P(B|A) = 0.6 then P(A∪B) is equal to

 
 
 
 

8.

 
 
 
 

9. If A and B are two independent events, then the probability of occurrence of at least of A and B is given by

 
 
 
 

10. A pair of dice are rolled. The probability of obtaining an even prime number on each dice is

 
 
 
 

11. Two cards are drawn at random and without replacement from a pack of 52 playing cards. Find the probability that both the cards are black.

 
 
 
 

12.

 
 
 
 

13. If the event A and B are independent, then P(A∩B) is equal to

 
 
 
 

14. The conditional probability of an event E, given the occurrence of the event F

 
 
 
 

15.

 
 
 
 

16. Which of the following conditions do Bernoulli trials satisfy?

 
 
 
 

17. If a, b and c are all distinct and the

 
 
 
 

18. The probability distribution of a discrete random variable X is given below:

The value of k is

 
 
 
 

19. If A and B are two events and A ≠ Φ, B ≠ Φ, then

 
 
 
 

20. For the following probability distribution, the standard deviation of the random variable X is

 
 
 
 

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