NCERT Solutions for Exercise 13.5 Class 12 Maths Chapter 13 - Probability
In this article, you will get NCERT solutions for exercise 13.5 Class 12 Maths chapter 13 prepared by subject matter experts who know how to write answers in board exams. Some important concepts like Bernoulli Trials and Binomial Distribution in probability are covered in this exercise 13.5 Class 12 Maths solutions. There are 3 examples related to Bernoulli trials and Binomial distribution are given in the NCERT textbook. First, try to solve these examples, you will get to know about Bernoulli trials. There are 15 questions given in the NCERT textbook exercise 13.5. You should try to solve all the NCERT Maths syllabus problems on your own. If you find difficulties while solving these problems, you can take help from Class 12 Maths chapter 13 exercise 13.5 solutions. You can also check for NCERT Solutions.
Also, see
- Probability Exercise 13.1
- Probability Exercise 13.2
- Probability Exercise 13.3
- Probability Exercise 13.4
- Probability Miscellaneous Exercise
Probability Class 12 Chapter 13-Exercise: 13.5
Question:1(i) A die is thrown 6 times. If ‘getting an odd number’ is a success, what is the probability of
5 successes?
Answer:
X be the number of success of getting an odd number.
X has a binomial distribution.
Question:1(ii) A die is thrown 6 times. If ‘getting an odd number’ is a success, what is the probability of
at least 5 successes?
Answer:
X be a number of success of getting an odd number.
X has a binomial distribution.
Question:1(iii) A die is thrown 6 times. If ‘getting an odd number’ is a success, what is the probability of
at most 5 successes?
Answer:
X be a number of success of getting an odd number.
X has a binomial distribution.
Answer:
A pair of dice is thrown times.X be getting a doublet.
Probability of getting doublet in a throw of pair of dice :
X has a binomial distribution,n=4
Put x = 2
Answer:
There are defective items in a large bulk of items.
X denotes the number of defective items in a sample of 10.
X has a binomial distribution, n=10.
Question:4(i) Five cards are drawn successively with replacement from a well-shuffled deck of cards. What is the probability that
all the five cards are spades?
Answer:
Let X represent a number of spade cards among five drawn cards. Five cards are drawn successively with replacement from a well-shuffled deck of cards.
We have 13 spades.
X has a binomial distribution,n=5.
Put X=5 ,
Question:4(ii) Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards. What is the probability that
only 3 cards are spades?
Answer:
Let X represent a number of spade cards among five drawn cards. Five cards are drawn successively with replacement from a well-shuffled deck of cards.
We have 13 spades.
X has a binomial distribution,n=5.
Put X=3 ,
Question:4(iii) Five cards are drawn successively with replacement from a well-shuffled deck of 52 cards. What is the probability that
none is a spade?
Answer:
Let X represent number of spade cards among five drawn cards. Five cards are drawn successively with replacement from a well-shuffled deck of cards.
We have 13 spades .
X has a binomial distribution,n=5.
Put X=0 ,
Question:5(i) The probability that a bulb produced by a factory will fuse after days of use is
. Find the probability that out of
such bulbs
none will fuse after days of use.
Answer:
Let X represent number of bulb that will fuse after days of use .Trials =5
X has a binomial distribution,n=5.
Put X=0 ,
Question:5(ii) The probability that a bulb produced by a factory will fuse after days of use is
Find the probability that out of
such bulbs
not more than one will fuse after days of use.
Answer:
Let X represent a number of the bulb that will fuse after days of use. Trials =5
X has a binomial distribution,n=5.
Put ,
Question:5(iii) The probability that a bulb produced by a factory will fuse after days of use is
Find the probability that out of
such bulbs
more than one will fuse after days of use.
Answer:
Let X represent number of bulb that will fuse after days of use .Trials =5
X has a binomial distribution,n=5.
Put ,
Question:5(iv) The probability that a bulb produced by a factory will fuse after days of use is
. Find the probability that out of
such bulbs
at least one will fuse after days of use.
Answer:
Let X represent number of bulb that will fuse after days of use .Trials =5
X has a binomial distribution,n=5.
Put ,
Answer:
Let X denote a number of balls marked with digit 0 among 4 balls drawn.
Balls are drawn with replacement.
X has a binomial distribution,n=4.
Put X = 0,
Answer:
Let X represent the number of correctly answered questions out of 20 questions.
The coin falls heads, he answers 'true'; if it falls tails, he answers 'false'.
X has a binomial distribution,n=20
Question:8 Suppose X has a binomial distribution Show that
is the most likely outcome.
(Hint : is the maximum among all of
,
)
Answer:
X is a random variable whose binomial distribution is
Here , n=6 and .
is maximum if
is maximum.
is maximum so for x=3 ,
is maximum.
Answer:
Let X represent number of correct answers by guessing in set of 5 multiple choice questions.
Probability of getting a correct answer :
X has a binomial distribution,n=5.
at least once
Answer:
Let X represent number of winning prizes in 50 lotteries .
X has a binomial distribution,n=50.
exactly once
Answer:
Let X represent number of winning prizes in 50 lotteries .
X has a binomial distribution,n=50.
at least twice?
Answer:
Let X represent number of winning prizes in 50 lotteries.
X has a binomial distribution,n=50.
Question:11 Find the probability of getting exactly twice in
throws of a die.
Answer:
Let X represent number of times getting 5 in 7 throws of a die.
Probability of getting 5 in single throw of die=P
X has a binomial distribution,n=7
Question:12 Find the probability of throwing at most sixes in
throws of a single die.
Answer:
Let X represent number of times getting 2 six in 6 throws of a die.
Probability of getting 6 in single throw of die=P
X has a binomial distribution,n=6
Answer:
Let X represent a number of times selecting defective items out of 12 articles.
Probability of getting a defective item =P
X has a binomial distribution,n=12
(A)
(B)
(C)
(D)
Answer:
Let X represent a number of defective bulbs out of 5 bulbs.
Probability of getting a defective bulb =P
X has a binomial distribution,n=5
The correct answer is C.
In the following, choose the correct answer:
(A)
(B)
(C)
(D) None of these
Answer:
Let X represent number students out of 5 who are swimmers.
Probability of student who are not swimmers =q
X has a binomial distribution,n=5
Option A is correct.
More About NCERT Solutions for Class 12 Maths Chapter 13 Exercise 13.5:-
Bernoulli trials is a very important concept for the finding probability of independents trials where outcomes are only success or failure. In exercise 13.4 Class 12 Maths you will get questions related to Bernoulli Trials and Binomial Distribution. There are 3 examples and 15 questions in this exercise. You must be thorough with Class 12 Maths ch 13 ex 13.5 in order to perform well in board exams. Basic knowledge of permutations and combinations is also required for this exercise.
Also Read| Probability Class 12th Notes
Benefits of NCERT Solutions for Class 12 Maths Chapter 13 Exercise 13.5:-
NCERT solutions for Class 12 Maths chapter 13 Exercise 13.5 are very helpful for the students to get conceptual clarity as all the questions are solved in a step-by-step manner.
Class 12th Maths chapter 13 exercise 13.5 solutions are also helpful for the students to revise important concepts.
NCERT solutions for Class 12 Maths chapter 13 exercise 13.5 are useful for the students who are stuck with these problems.
You don't need to buy any other reference book as CBSE mostly asks questions from the NCERT textbook in the board exams.
You must be thorough with the NCERT textbook, you can take NCERT solutions for Class 12 Maths chapter 13 exercise 13.5 as reference.
Also see-
NCERT Solutions of Class 12 Subject Wise
Subject Wise NCERT Exampler Solutions
Happy learning!!!
Frequently Asked Question (FAQs) - NCERT Solutions for Exercise 13.5 Class 12 Maths Chapter 13 - Probability
Question: What is the Probability Theory ?
Answer:
Probability theory is a branch of mathematics that deals with the numerical measurement of the degree of uncertainty.
Question: What is the importance of probability theory ?
Answer:
Probability theory is useful in Meteorologists, weather prediction, health, sports, gambling, etc.
Question: What is the probabilty of a certain event ?
Answer:
The probability of a certain event is 1.
Question: what is probability of getting head when a fair coin is tossed ?
Answer:
The probability of getting head is 0.5 when a fair coin is tossed.
Question: what is probability of getting two consecutive heads when a fair coin is tossed two times ?
Answer:
The probability of getting two consecutive heads when a fair coin is tossed two times is 0.25.
Question: If the probability of getting tail is 0.6 when a biased coin is tossed then what is probability of getting head ?
Answer:
Probability of getting Head = 1 - Probability of getting tail
= 1 - 0.6
= 0.4
Question: Can I get NCERT solutions for Class 10 Maths ?
Answer:
Yes, click here to get NCERT Solutions for Class 10 Maths.
Question: Can I get NCERT solutions for Class 10 Maths probability ?
Answer:
Click on the link to get NCERT Solutions for Class 10 Maths Probability.
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