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NCERT Solutions for Class 11 Maths Chapter 16 Probability

NCERT Solutions for Class 11 Maths Chapter 16 Probability

Edited By Komal Miglani | Updated on Mar 23, 2025 05:55 PM IST

Probability is an important concept in Class 11 Maths that we use to understand the chances or probability of events taking place in real life. In this chapter, we learn about random experiments, sample space, and events, and it is a base for various complex probability theories in higher classes as it is also available in class 12th. In this article, we discuss probability, its computation, and its different uses. This article will help to understand the subject easily for Class 11 students by using basic explanations, examples, and NCERT solutions for class 11. We will also deal with questions like 'What is probability?', 'How to find the probability of an event?', and 'What are the various rules and applications of probability?'

This Story also Contains
  1. Probability Class 11 Questions And Answers PDF Free Download
  2. Probability Class 11 Solutions - Important Formulae
  3. Probability Class 11 NCERT Solutions (Exercise)
  4. Importance of solving NCERT questions for class 11 Math Chapter 14
  5. NCERT Solutions for Class 11 - Subject Wise
  6. NCERT Books and NCERT Syllabus
NCERT Solutions for Class 11 Maths Chapter 16 Probability
NCERT Solutions for Class 11 Maths Chapter 16 Probability

NCERT Solutions for Class 11 Maths Chapter 14 Probability, designed by experts from Careers360, provides complete study material for students who are preparing for the CBSE Class 11 examinations. Class 11 Maths Chapter 14 ncert solutions include all the concepts from the NCERT Syllabus and Probability Class 11 Maths Chapter Notes, with detailed solutions to a variety of complex probability problems. These solutions help students learn key concepts like random experiments, outcomes, sample space, and theorems related to probability so that their problem-solving capabilities become strong. It is suggested to the students that they study NCERT Class 11 Maths text deeply and achieve full clarity in understanding all concepts introduced in this chapter. Also, read chapter-wise NCERT solutions for mathematics. Here you will get NCERT Exemplar solutions for class 11 also and for more practice go through NCERT Exemplar Solutions For Class 11 Maths Chapter Probability.

Probability Class 11 Questions And Answers PDF Free Download

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Probability Class 11 Solutions - Important Formulae

Probability:

Probability is calculated as the number of favourable outcomes in an event divided by the total number of possible outcomes.

  • Probability = Number of Favourable Outcomes / Total Number of Outcomes

Event:

An event is a subset of the sample space S. An empty set is known as the Impossible event.

For any random experiment with sample space S, the probability P is a real-valued function where:

  • P(E)0 for any event E

  • P(S)=1

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Mutually Exclusive Events:

If events E and F are mutually exclusive, then the probability of their union is the sum of their individual probabilities.

  • P(EF)=P(E)+P(F)

Equally Likely Outcomes:

Equally likely outcomes are outcomes with the same probability of occurring.

Let S be a finite sample space with equally likely outcomes, and A be an event. The probability of event A is calculated as:

  • P(A) = Number of Favourable Outcomes (n(A)) / Total Number of Outcomes (n(S))=n(A)n(S)

Formulas for Combining Events:

Event P or Q corresponds to the set union PQ.

Event P and Q correspond to the set intersection PQ.

Event P and not Q corresponds to the set difference PQ.

Mutually Exclusive Events:

Events P and Q are mutually exclusive if their intersection is the empty set:

  • PQ= (empty set)

Exhaustive and Mutually Exclusive Events:

Events P1,P2,,Pn are exhaustive and mutually exclusive if:

  • Their union covers the entire sample space: P1P2Pn=S

  • They have no common outcomes: EiEj= for all ij

Probability Class 11 NCERT Solutions (Exercise)

Probability class 11 questions and answers: Exercise: 14.1
Page number: 294-295
Total Questions: 7

Question:1. A die is rolled. Let E be the event “die shows 4 ” and F be the event “die shows even number”. Are E and F mutually exclusive?

Answer:

When a die is rolled, the sample space of possible outcomes:

S = {1, 2, 3, 4, 5, 6}

Now,

E = event that the die shows 4 = {4}

F = event that the die shows even number = {2, 4, 6}

E F = {4} {2, 4, 6}

= {4} ϕ

Hence E and F are not mutually exclusive events.

Question:2 A die is thrown. Describe the following events:

(i) A: a number less than 7 (ii) B: a number greater than 7
(iii) C: a multiple of 3. (iv) D: a number less than 4
(v) E: an even multiple greater than 4 (vi) F: a number not less than 3

Also, find AB, AB, BC, EF, DE, AC, DE, EF, F

Answer:

(i) When a die is rolled, the sample space of possible outcomes:

S = {1, 2, 3, 4, 5, 6} or {x: x N, x<7}

Given, A: a number less than 7

As every number on a die is less than 7

A = {1, 2, 3, 4, 5, 6} = S

(ii) When a die is rolled, the sample space of possible outcomes:

S = {1, 2, 3, 4, 5, 6} or {x: x N, x<7}

Given, B: a number greater than 7

As no number on the die is greater than 7

B = ϕ

(iii) When a die is rolled, the sample space of possible outcomes:

S = {1, 2, 3, 4, 5, 6} or {x: x N, x<7}

Given, C: a multiple of 3

C = {3, 6}

(iv) When a die is rolled, the sample space of possible outcomes:

S = {1, 2, 3, 4, 5, 6} or {x: x N, x<7}

Given, D: a number less than 4

D = {1, 2, 3}

(v) When a die is rolled, the sample space of possible outcomes:

S = {1, 2, 3, 4, 5, 6} or {x: x N, x<7}

Given, E: an even number greater than 4

S1 = Subset of S containing even numbers = {2,4,6}

Therefore , E = {6}

(vi) When a die is rolled, the sample space of possible outcomes:

S = {1, 2, 3, 4, 5, 6} or {x: x N, x<7}

Given, F: a number not less than 3

F = {x: x S, x 3 } = {3, 4, 5, 6}

Now,

A B = { 1, 2, 3, 4, 5, 6 } ϕ = {1, 2, 3, 4, 5, 6}

A B = {1, 2, 3, 4, 5, 6} ϕ = ϕ

B C = ϕ { 3, 6 } = {3, 6}

E F = { 6 } {3, 4, 5, 6 } = {6}

D E = {1, 2, 3} {6} = ϕ (As nothing is common in these sets)

A - C = {1, 2, 3 , 4, 5, 6 } - { 3 , 6 } = {1, 2, 4, 5}

D - E = {1, 2, 3} - {6} = {1, 2, 3}

F' = {3, 4, 5, 6}' = S - F = {1, 2}

E F' = {6} {1, 2} = ϕ

Question:3 An experiment involves rolling a pair of dice and recording the numbers that come up. Describe the following events:

(a) the sum is greater than 8

(b) 2 occurs on either die

(c) the sum is at least 7 and a multiple of 3

(d) Which pairs of these events are mutually exclusive?

Answer:

(a) Sample space when a die is rolled:

S = {1, 2, 3, 4, 5, 6}

Let E = Event of rolling a pair of dice (= Event that a die is rolled twice!) [6x6 = 36 possible outcomes]

E = [ {(x,y): x,y S } ] = {(1,1), (1,2)...(1,6),(2,1).....(6,5),(6,6)}

Now,

A: the sum is greater than 8

Possible sum greater than 8 are9, 10, 11, and 12

A = [ {(a,b): (a,b) E, a+b>8 } ] = {(3,6), (4,5), (5, 4), (6,3), (4,6), (5,5), (6,4), (5,6), (6,5), (6,6)}

(b) Sample space when a die is rolled:

S = {1, 2, 3, 4, 5, 6}

Let E = Event of rolling a pair of dice (= Event that a die is rolled twice!) [6x6 = 36 possible outcomes]

E = [ {(x,y): x,y S } ] = {(1,1), (1,2)...(1,6),(2,1).....(6,5),(6,6)}

Now,

B: 2 occurs on either die

Hence the number 2 can come on the first die or second die or on both die simultaneously.

B = [ {(a,b): (a,b) E, a or b = 2 } ] = {(1,2), (2,2), (3, 2), (4,2), (5,2), (6,2), (2,1), (2,3), (2,4), (2,5), (2,6)}

(c) Sample space when a die is rolled:

S = {1, 2, 3, 4, 5, 6}

Let E = Event of rolling a pair of dice (= Event that a die is rolled twice!) [6x6 = 36 possible outcomes]

E = [ {(x,y): x,y S } ] = {(1,1), (1,2)...(1,6),(2,1).....(6,5),(6,6)}

Now,

C: the sum is at least 7 and a multiple of 3

The sum can only be 9 or 12.

C = [ {(a,b): (a,b) E, a+b>6 & a+b = 3k, k I} ] = {(3,6), (6,3), (5, 4), (4,5), (6,6)}

(d) For two elements to be mutually exclusive, there should not be any common element amongst them.

Also, A = { (3,6) , (4,5), (5, 4), (6,3) , (4,6), (5,5), (6,4), (5,6), (6,5), (6,6) }

B = {(1,2), (2,2), (3, 2), (4,2), (5,2), (6,2), (2,1), (2,3), (2,4), (2,5), (2,6)}

C = { (3,6), (6,3), (5, 4), (4,5), (6,6) }

Now, A B = ϕ (no common element in A and B)

Hence, A and B are mutually exclusive

Again, B C = ϕ (no common element in B and C)

Hence, B and C are mutually exclusive

Again, C A = {(3,6), (6,3), (5, 4), (4,5), (6,6)}

Therefore,

A and B, B and C are mutually exclusive.

Question:4 Three coins are tossed once. Let A denote the event ‘three heads show”, B denote the event “two heads and one tail show”, C denote the event” three tails show and D denote the event a head shows on the first coin”. Which events are

(i) mutually exclusive?

(ii) simple?

(iii) Compound?

Answer:

Sample space when three coins are tossed = [Sample space when a coin is tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Now,

A = Event that three heads show up = {HHH}

B = Event that two heads and one tail show up = {HHT, HTH, THH}

C = Event that three tails show up = {TTT}

D = Event that a head shows on the first coin = {HHH, HHT, HTH, HTT}

(i). For two elements X and Y to be mutually exclusive, X Y = ϕ

A B = {HHH} {HHT, HTH, THH} = ϕ ; Hence A and B are mutually exclusive.

B C = {HHT, HTH, THH} {TTT} = ϕ ; Hence B and C are mutually exclusive.

C D = {TTT} {HHH, HHT, HTH, HTT} = ϕ ; Hence C and D are mutually exclusive.

D A = {HHH, HHT, HTH, HTT} {HHH} = {HHH} ; Hence D and A are not mutually exclusive.

A C = {HHH} {TTT} = ϕ ; Hence A and C are mutually exclusive.

B D = {HHT, HTH, THH} {HHH, HHT, HTH, HTT} = {HHT, HTH} ; Hence B and D are not mutually exclusive.

(ii) If an event X has only one sample point of a sample space, it is called a simple event.

A = {HHH} and C = {TTT}

Hence, A and C are simple events.

(iii). If an event has more than one sample point, it is called a Compound event.

B = {HHT, HTH, THH} and D = {HHH, HHT, HTH, HTT}

Hence, B and D are compound events.

Question:5 Three coins are tossed. Describe

(i) Two mutually exclusive events.

(ii) Three events which are mutually exclusive and exhaustive.

(iii) Two events, which are not mutually exclusive

(iv) Two events which are mutually exclusive but not exhaustive.

(v) Three events which are mutually exclusive but not exhaustive

Answer:

(i) Sample space when three coins are tossed = [Sample space when a coin is tossed thrice!]

S = {HHH, HHT, HTH, THH, TTH, TTT}

(i)

A = Event that three heads show up = {HHH}

B = Event that three tails show up = {TTT}

A B = {HHH} {TTT} = ϕ ; Hence A and B are mutually exclusive.

(ii) Sample space when three coins are tossed = [Sample space when a coin is tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Let,

A = Getting no tails = {HHH}

B = Getting exactly one tail = {HHT, HTH, THH}

C = Getting at least two tails = {HTT, THT, TTH}

Clearly, A B = ϕ ; B C = ϕ ; C A = ϕ

Since (A and B), (B and C), and (A and C) are mutually exclusive

Therefore A, B, and C are mutually exclusive.

Also,

A B C = S

Hence A, B, and C are exhaustive events.

Hence, A, B, and C are three events that are mutually exclusive and exhaustive.

(iii) Sample space when three coins are tossed = [Sample space when a coin is tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Let,

A = Getting at least one head = {HHH, HHT, HTH, THH, TTH}

B = Getting at most one head = {TTH, TTT}

Clearly, A B = {TTH} ϕ

Hence, A and B are two events which are not mutually exclusive.

(iv) Sample space when three coins are tossed = [Sample space when a coin is tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Let,

A = Getting exactly one head = {HTT, THT, TTH}

B = Getting exactly one tail = {HHT, HTH, THH}

Clearly, A B = ϕ

Hence, A and B are mutually exclusive.

Also, A B S

Hence, A and B are not exhaustive.

(v) Sample space when three coins are tossed = [Sample space when a coin is tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Let,

A = Getting exactly one tail = {HHT, HTH, THH}

B = Getting exactly two tails = {HTT, TTH, THT}

C = Getting exactly three tails = {TTT}

Clearly, A B = ϕ ; B C = ϕ ; C A = ϕ

Since (A and B), (B and C), and (A and C) are mutually exclusive

Therefore A, B and C are mutually exclusive.

Also,

A B C = {HHT, HTH, THH, HTT, TTH, THT, TTT} S

Hence A, B, and C are not exhaustive events.

Question:6.(i) Two dice are thrown. The events A, B, and C are as follows:

A: getting an even number on the first die.

B: getting an odd number on the first die.

C: getting the sum of the numbers on the dice 5.

Describe the events

(i) A

(ii) not B

(iii) A or B

(iv) A and B

(v) A but not C

(vi) B or C

(vii) B and C

(viii) ABC

Answer:

(i) Sample space when two dice are thrown:

S = {(x,y): 1 x,y 6}

A: getting an even number on the first die = {(a,b): a {2,4,6} and 1 b 6}

= {(2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

Therefore, A'= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

= B: getting an odd number on the first die.

(ii) Sample space when two dice are thrown:

S = {(x,y): 1 x,y 6}

B: getting an odd number on the first die = {(a,b): a {1,3,5} and 1 b 6}

= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

Therefore, B'= {(2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

= A getting an even number on the first die.

(iii) Sample space when two dice are thrown:

S = {(x,y): 1 x,y 6}

A: getting an even number on the first die = {(a,b): a {2,4,6} and 1 b 6}

= {(2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

B: getting an odd number on the first die = {(a,b): a {1,3,5} and 1 b 6}

= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

A or B = A B = {(1,1), (1,2) .... (1,6), (3,1), (3,2).... (3,6), (5,1), (5,2)..... (5,6), (2,1), (2,2)..... (2,6), (4,1), (4,2)..... (4,6), (6,1), (6,2)..... (6,6)} = S

(iv) Sample space when two dice are thrown:

S = {(x,y): 1 x,y 6}

A: getting an even number on the first die = {(a,b): a {2,4,6} and 1 b 6}

= {(2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

B: getting an odd number on the first die = {(a,b): a {1,3,5} and 1 b 6}

= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

A and B = A B = A A' = ϕ (From (ii))

(v) Sample space when two dice are thrown:

S = {(x,y): 1 x,y 6}

A: getting an even number on the first die = {(a,b): a {2,4,6} and 1 b 6}

= { (2, 1), (2,2), (2,3) , (2,4), (2,5), (2,6), (4,1) , (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

C: getting the sum of the numbers on the dice 5

The possible sum is 2,3,4,5

C = {(a,b): 2 a + b 5} = { (1, 1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3), (3,1), (3,2), (4,1)}

A but not C = A - C = {(2,4), (2,5), (2,6), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

(vi) Sample space when two dice are thrown:

S = {(x,y): 1 x,y 6}

B: getting an odd number on the first die = {(a,b): a {1,3,5} and 1 b 6}

= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

C: getting the sum of the numbers on the dice 5

The possible sum is 2,3,4,5

C = {(a,b): 2 a + b 5} = { (1, 1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3), (3,1), (3,2), (4,1) }

B or C = B C = {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (2,1), (2,2), (2,3) , (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (4,1) , (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

(vii) Sample space when two dice are thrown:

S = {(x,y): 1 x,y 6}

B: getting an odd number on the first die = {(a,b): a {1,3,5} and 1 b 6}

= { (1,1), (1,2), (1,3), (1,4) , (1,5), (1,6), (3,1), (3,2) , (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

C: getting the sum of the numbers on the dice 5

The possible sum ais2,3,4,5

C = {(a,b): 2 a + b 5} = { (1, 1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3), (3,1), (3,2), (4,1)}

B and C = B C = {(1, 1), (1,2), (1,3), (1,4), (3,1), (3,2)}

(viii) Sample space when two dice are thrown:

S = {(x,y): 1 x,y 6}

A: getting an even number on the first die = {(a,b): a {2,4,6} and 1 b 6}

= { (2, 1), (2,2), (2,3) , (2,4), (2,5), (2,6), (4,1) , (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

B: getting an odd number on the first die = {(a,b): a {1,3,5} and 1 b 6}

= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

C: getting the sum of the numbers on the dice 5

The possible sum aris,3,4,5

C = {(a,b): 2 a + b 5} = {(1, 1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3) , (3,1), (3,2), (4,1) }

A B' C' = A A C' (from (ii))

= A C' = A - C = {(2,4), (2,5), (2,6), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

Question:7.(i) Refer to question 6 above, state true or false: (give a reason for your answer)

(i) A and B are mutually exclusive

(ii) A and B are mutually exclusive and exhaustive

(iii) A=B

(iv) A and C are mutually exclusive

(v) A and B are mutually exclusive

(vi) A,B,C are mutually exclusive and exhaustive.

Answer:

(i) Here,

A = {(2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

B = { (1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6) }

(i) X and Y are mutually exclusive if and only if X Y = ϕ

A B = ϕ, since A and B have no common element amongst them.

Hence, A and B are mutually exclusive. TRUE

(ii) Here,

A = {(2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

B = { (1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6) }

(ii) X and Y are mutually exclusive if and only if X Y = ϕ

A B = ϕ , since A and B have no common element amongst them.

Hence, A and B are mutually exclusive.

Also,

A B = {(2,1), (2,2).... (2,6), (4,1), (4,2).....(4,6), (6,1), (6,2)..... (6,6), (1,1), (1,2).... (1,6), (3,1), (3,2)..... (3,6), (5,1), (5,2).... (5,6) } = S

Hence, A and B are exhaustive.

TRUE

(iii) Here,

S = {(x,y): 1 x,y 6}

A = {(2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

B = {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

(iii) Therefore, B' = S -B = {(2,1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)} = A

TRUE

(iv) Here,

S = {(x,y): 1 x,y 6}

A = { (2, 1), (2,2), (2,3) , (2,4), (2,5), (2,6), (4,1) , (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

C = {(1, 1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3) , (3,1), (3,2), (4,1) }

(iv) X and Y are mutually exclusive if and only if X Y = ϕ

A C = { (2,1), (2,2), (2,3) , (4,1) } ,

Hence, A and B are not mutually exclusive. FALSE

(v) X and Y are mutually exclusive if and only if X Y = ϕ

A B' = A A = A (From (iii))

A B’ ϕ

Hence A and B' are not mutually exclusive. FALSE

(vi) Here,

S = {(x,y): 1 x,y 6}

A = {(2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

B = {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6)}

C = {(1, 1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3), (3,1), (3,2), (4,1)}

(vi) X and Y are mutually exclusive if and only if X Y = ϕ

A' B' = B A = ϕ (from (iii) and (i))

Hence A' and B' are mutually exclusive.

Again,

B' C = A C ϕ (from (iv))

Hence B' and C are not mutually exclusive.

Hence, A', B', and C are not mutually exclusive and exhaustive. FALSE

Probability class 11 questions and answers: Exercise: 14.2
Page number: 305-308
Total questions: 21

Question:1(a) Which of the following can not be valid assignment of probabilities for outcomes of sample Space S ={ω1,ω2,ω3,ω4,ω5,ω6,ω7}

Answer:

(a) Condition (i): Each of the numbers p( ωi ) is positive and less than one.

Condition (ii): Sum of probabilities = 0.1 + 0.01 + 0.05 + 0.03 + 0.01 + 0.2 + 0.6 = 1

Therefore, the assignment is valid.

Question:1.(b) Which of the following cannot be the valid assignment of probabilities for outcomes of sample Space S={ω1,ω2,ω3,ω4,ω5,ω6,ω7}

Answer:

(b) Condition (i): Each of the numbers p( ωi ) is positive and less than one.

Condition (ii): Sum of probabilities = 17+17+17+17+17+17+17=1

Therefore, the assignment is valid.

Question:1.(c) Which of the following can not be a valid assignment of probabilities for outcomes of sample Space S={ω1,ω2,ω3,ω4,ω5,ω6,ω7}

Answer:

(c) Since sum of probabilities = 0.1 + 0.2 + 0.3 + 0.4 + 0.5 + 0.6 + 0.7 = 2.8 > 1

Hence, Condition (ii) is not satisfied.

Therefore, the assignment is not valid.

Question:1.(d) Which of the following can not be a valid assignment of probabilities for outcomes of sample Space S={ω1,ω2,ω3,ω4,ω5,ω6,ω7}


Answer:

(d) Two of the probabilities p( ω1 ) and p( ω5 ) are negative, hence condition(i) is not satisfied.

Therefore, the assignment is not valid.

Question:1.(e) Which of the following can not be a valid assignment of probabilities for outcomes of sample Space S={ω1,ω2,ω3,ω4,ω5,ω6,ω7}


Answer:

(e) Each of the number p( ωi ) is positive but p( ω7 ) is not less than one. Hence, the condition is not satisfied.

Therefore, the assignment is not valid.

Question:2 A coin is tossed twice, what is the probability that at least one tail occurs?

Answer:

Sample space when a coin is tossed twice, S = {HH, HT, TH, TT}

[Note: A coin tossed twice is the same as two coins tossed at once]

Number of possible outcomes n(S) = 4

Let E be the event of getting at least one tail = {HT, TH, TT}

n(E) = 3

P(E)=n(E)n(S) =34

= 0.75

Question:3. A die is thrown, find the probability of the following events:

(i) A prime number will appear

(ii) A number greater than or equal to 3 will appear

(iii) A number less than or equal to one will appear

(iv) A number more than 6 will appear

(v) A number less than 6 will appear.

Answer:

(i) Sample space when a die is thrown, S = {1,2,3,4,5,6}

Number of possible outcomes n(S) = 6

Let E be the event of getting a prime number = {2,3,5}

n(E) = 3

P(E)=n(E)n(S) =36

= 0.5

(ii) Sample space when a die is thrown, S = {1,2,3,4,5,6}

Number of possible outcomes n(S) = 6

Let E be the event of getting a number greater than or equal to 3 = {3,4,5,6}

n(E) = 4

P(E)=n(E)n(S) =46=23

= 0.67

(iii) Sample space when a die is thrown, S = {1,2,3,4,5,6}

Number of possible outcomes n(S) = 6

Let E be the event of getting a number less than or equal to one = {1}

n(E) = 1

P(E)=n(E)n(S) =16

= 0.167

(iv) Sample space when a die is thrown, S = {1,2,3,4,5,6}

Number of possible outcomes n(S) = 6

Let E be the event of getting a number more than 6 will appear = ϕ

n(E) = 0

P(E)=n(E)n(S) =06

= 0

(v) Sample space when a die is thrown, S = {1,2,3,4,5,6}

Number of possible outcomes n(S) = 6

Let E be the event of getting a number less than 6 will appear = {1,2,3,4,5}

n(E) = 5

P(E)=n(E)n(S) =56

= 0.83

Question:4. A card is selected from a pack of 52 cards.
(a) How many points are there in the sample space?

(b) Calculate the probability that the card is an ace of spades.

(c)(i) Calculate the probability that the card is an ace.

(c)(ii) Calculate the probability that the card is a black card.

Answer:

(a) Number of points(events) in the sample space = Number of cards in the pack = 52

(b) Number of possible outcomes, n(S) = 52

Let E be the event that the card is an ace of spades

n(E) = 1

P(E)=n(E)n(S) =152

The required probability that the card is an ace of spades is 152

(c)(i) Number of possible outcomes, n(S) = 52

Let E be the event that the card is an ace. There are 4 aces.

n(E) = 4

P(E)=n(E)n(S) =452=113

The required probability that the card is an ace is 113.

(c)(ii) Number of possible outcomes, n(S) = 52

Let E be the event that the card is black. There are 26 black cards. (Diamonds and Clubs)

n(E) = 26

P(E)=n(E)n(S) =2652=12

The required probability that the card is an ace is 12.

Question:5. A fair coin with 1 marked on one face and 6 on the other and a fair die are both tossed. find the probability that the sum of numbers that turn up is

(i) 3

(ii) 12

Answer:

The coin and die are tossed together.

The coin can have only 1 or 6 as possible outcomes and the die can have {1,2,3,4,5,6} as possible outcomes

Sample space, S = {(x,y): x {1,6} and y {1,2,3,4,5,6}}

= {(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}

Number of possible outcomes, n(S) = 12

(i) Let E be the event having the sum of numbers as 3 = {(1, 2)}

n(E) = 1

P(E)=n(E)n(S) =112

The required probability of having 3 as the sum of numbers is 112.

(ii) Let E be the event having the sum of numbers as 12 = {(6, 6)}

n(E) = 1

P(E)=n(E)n(S) =112

The required probability of having 12 as the sum of numbers is 112 .

Question:6 There are four men and six women on the city council. If one council member is selected for a committee at random, how likely is it that it is a woman?

Answer:

There are four men and six women on the city council

n(S) = n(men) + n(women) = 4 + 6 = 10

Let E be the event of selecting a woman

n(E) = 6

P(E)=n(E)n(S) =610=35

Therefore, the required probability of selecting a woman is 0.6

Question:7. A fair coin is tossed four times, and a person wins Rs 1 for each head and lose Rs 1.50 for each tail that turns up. From the sample, space calculates how many different amounts of money you can have after four tosses and the probability of having each of these amounts.

Answer:

Here the sample space is,

S = {HHHH, HHHT, HHTH, HTHH, THHH, HHTT, HTHT, THHT, HTTH, THTH, TTHH, TTTH, TTHT, THTT, HTTT, TTTT}

According to the question,

1.) 4 heads = 1 + 1 + 1 + 1 = Rs. 4

2.) 3 heads and 1 tail = 1 + 1 + 1 - 1.50 = Rs. 1.50

3.) 2 heads and 2 tails = 1 + 1 - 1.50 - 1.50 = - Rs. 1 : he will lose Re. 1

4.) 1 head and 3 tails = 1 – 1.50 – 1.50 – 1.50 = - Rs. 3.50 : he will lose Rs. 3.50

5.) 4 tails = – 1.50 – 1.50 – 1.50 – 1.50 = - Rs. 6 = he will lose Rs. 6

Now, the sample space of amounts corresponding to S:

S' = {4, 1.50, 1.50, 1.50, 1.50, - 1, - 1, - 1, - 1, - 1, - 1, - 3.50, - 3.50, - 3.50, - 3.50, - 6}

n(S') = 12

Required Probabilities are:

P(Winning Rs. 4)=n(Winning Rs. 4)n(S) =116

P(Winning Rs. 1.50)=n(Winning Rs. 1.50)n(S) =416=14

P(Losing Re. 1)=n(Losing Rs. 1)n(S) =616=38

P(Losing Rs. 3.50)=n(Losing Rs. 3.50)n(S) =416=14

P(Losing Rs. 6)=n(Losing Rs. 6)n(S) =116

Question:8. Three coins are tossed once. Find the probability of getting

(i) 3 heads

(ii) 2 heads

(iii) atleast 2 heads

(iv) atmost 2 heads

(v) no head

(vi) 3 tails

(vii) exactly two tails

(viii) no tail

(ix) atmost two tails

Answer:

(i) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting 3 heads = {HHH}

n(E) = 1

P(E)=n(E)n(S) =18

The required probability of getting 3 heads is 18 .

(ii) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting 2 heads = {HHT, HTH, THH}

n(E) = 3

P(E)=n(E)n(S) =38

The required probability of getting 2 heads is 38 .

(iii) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting atleast 2 heads = Event of getting 2 or more heads = {HHH, HHT, HTH, THH}

n(E) = 4

P(E)=n(E)n(S) =48=12

The required probability of getting atleast 2 heads is 12 .

(iv) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting atmost 2 heads = Event of getting 2 or less heads = {HHT, HTH, THH, TTH, HTT, THT}

n(E) = 6

=68=34 P(E)=n(E)n(S)

The required probability of getting almost 2 heads is 34 .

(v) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting no head = Event of getting only tails = {TTT}

n(E) = 1

P(E)=n(E)n(S) =18

The required probability of getting no head is 18 .

(vi) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting 3 tails = {TTT}

n(E) = 1

P(E)=n(E)n(S) =18

The required probability of getting 3 tails is 18 .

(vii) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting exactly 2 tails = {TTH, HTT, THT}

n(E) = 3

P(E)=n(E)n(S) =38

The required probability of getting exactly 2 tails is 38 .

(viii) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting no tail = Event of getting only heads = {HHH}

n(E) = 1

P(E)=n(E)n(S) =18

The required probability of getting no tail is 18 .

(ix) Sample space when three coins are tossed: [Same as a coin tossed thrice!]

S = {HHH, HHT, HTH, HTT, THH, TTH, THT, TTT}

Number of possible outcomes, n(S) = 8 [Note: 2x2x2 = 8]

Let E be the event of getting atmost 2 tails = Event of getting 2 or less tails = {HHT, HTH, THH, TTH, HTT, THT}

n(E) = 6

P(E)=n(E)n(S) =68=34

The required probability of getting atmost 2 tails is 34 .

Question:9 If 211 is the probability of an event, what is the probability of the event ‘not A’?

Answer:

Given,

P(E) = 211

We know,

P(not E) = P(E') = 1 - P(E)

= 1211

= 911

Question: 10. A letter is chosen at random from the word ‘ASSASSINATION’. Find the probability that

(i) letter is a vowel

(ii) that letter is a consonant

Answer:

(i) Given, ‘ASSASSINATION’

No. of A's = 3; No. of S's = 4; No. of I's = 2; No. of N's = 2; No. of T = 1; No. of O = 1

No. of letters = 13

No. of vowels = {3 A's,2 I's,O} = 6

One letter is selected:

n(S) = 13C1 = 13

Let E be the event of getting a vowel.

n(E) = 6C1 = 6

P(E)=613

(ii) Given, ‘ASSASSINATION’

No. of A's = 3; No. of S's = 4; No. of I's = 2; No. of N's = 2; No. of T = 1; No. of O = 1

No. of letters = 13

No. of consonants = {4 S's,2 N's,T} = 7

One letter is selected:

n(S) = 13C1 = 13

Let E be the event of getting a consonant.

n(E) = 7C1 = 7

P(E)=713

Question:11 In a lottery, a person chooses six different natural numbers at random from 1 to 20 , and if these six numbers match with the six numbers already fixed by the lottery committee, he wins the prize. What is the probability of winning the prize in the game? [ Hint order of the numbers is not important.]

Answer:

Total numbers of numbers in the draw = 20

Numbers to be selected = 6

n(S) = 20C6

Let E be the event that six numbers match with the six numbers fixed by the lottery committee.

n(E) = 1 (Since only one prize to be won.)

Probability of winning =

P(E)=n(E)n(S) =120C6=6!14!20!

=6.5.4.3.2.1.14!20.19.18.17.16.15.14!

=138760

Question:12. Check whether the following probabilities P(A) and P(B) are consistently defined:

(i) P(A)=0.5,P(B)=0.7.P(AB)=0.6

(ii) P(A)=0.5,P(B)=0.4,P(AB)=0.8

Answer:

(i) Given, P(A)=0.5,P(B)=0.7.P(AB)=0.6

Now P(A B) > P(A)

(Since A B is a subset of A, P( A B) cannot be more than P(A))

Therefore, the given probabilities are not consistently defined.

(ii) Given, P(A)=0.5,P(B)=0.4,P(AB)=0.8

We know,

P(A B) = P(A)+ P(B) - P(A B)

0.8 = 0.5 + 0.4 - P(A B)

P(A B) = 0.9 - 0.8 = 0.1

Therefore, P(A B) < P(A) and P(A B) < P(B) , which satisfies the condition.

Hence, the probabilities are consistently defined

Question:13 Fill in the blanks in the following table:

Answer:

We know,

P(AB)=P(A)+P(B)P(AB)

(i) P(AB) = 13+15115 = 5+3115=715

(ii) 0.6=0.35+P(B)0.25

P(B)=0.60.1=0.5

(iii) 0.7=0.5+0.35P(AB)

P(AB)=0.850.7=0.15


P(A)
P(B)
P(AB)
P(AB)
(i)
13
15
115
715
(ii)
0.35
0.5
0.25
0.6
(iii)
0.5
0.35
0.15
0.7

Question:14 Given P(A)=35 and P(B)=15 . Find P(AorB) , if A and B are mutually exclusive events.

Answer:

Given, P(A)=35 and P(B)=15

To find : P(AorB)=P(AB)

We know,

P(AB)=P(A)+P(B)P(AB)=P(A)+P(B) [Since A and B are mutually exclusive events.]

P(AB)=35+15=45

Therefore, P(AB)=45

Question:15 If E and F are events such that P(E)=14 , P(F)=12 and P(EandF)=18 , find

(i) P(E or F)

(ii) P(not E and not F)

Answer:

(i) Given, P(E)=14 , P(F)=12 and P(EandF)=18

To find : P(EorF)=P(EF)

We know,

P(AB)=P(A)+P(B)P(AB)

P(EF)= 14+1218=2+418

=58
Therefore, P(EF)= 58

(ii) Given, P(E)=14 , P(F)=12 and P(EandF)=18

To find : P(not E and not F)=P(EF)

We know,

P(AB)=P(AB)=1P(AB)

And P(AB)=P(A)+P(B)P(AB)

P(EF)= 14+1218=2+418

=58

P(EF)=1P(EF)

=158=38

Therefore, P(EF)= 38

Question:16 Events E and F are such that P(not E or not F) =0.25 , State whether E and F are mutually exclusive.

Answer:

Given, P(not E or not F)=0.25

For A and B to be mutually exclusive, P(AB)=0

Now, P(not E or not F)=P(EF)=0.25

We know,

P(AB)=P(AB)=1P(AB)
0.25=1P(EF)P(EF)=10.25=0.750

Hence, E and F are not mutually exclusive.

Question:17 A and B are events such that P(A) =0.42, P(B) =0.48 and P(A and B) . =0.16 Determine

(i) (P(not A)

(ii) P(not B)

(iii) P(A or B)

Answer:

Given, P(A) = 0.42, P(B) = 0.48 and P(A and B) = 0.16

(i) P(not A)=P(A)=1P(A)

P(not A)=10.42=0.58

Therefore, P(not A) = 0.58

(ii) P(not B)=P(B)=1P(B)

P(not B)=10.48=0.52

Therefore, P(not B) = 0.52

(iii) We know,

P(AB)=P(A)+P(B)P(AB)

P(AB)=0.42+0.480.16=0.90.16

= 0.74

Question:18 In Class XI of a school 40% of the students study Mathematics and 30% study Biology. 10% of the class study both Mathematics and Biology. If a student is selected at random from the class, find the probability that he will be studying Mathematics or Biology.

Answer:

Let M denote the event that the student is studying Mathematics and B denote the event that the student is studying Biology

And the total number of students in the class is 100.

Given, n(M) = 40 P(M) = 40100=25

n(B) = 30 P(M) = 30100=310

n(M B) = 10 P(M) = 10100=110

We know,

P(A B) = P(A)+ P(B) - P(A B)

P(M B) = 0.4 + 0.3 - 0.1 = 0.6

Hence, the probability that he will be studying Mathematics or Biology is 0.6

Question:19 In an entrance test that is graded on the basis of two examinations, the probability of a randomly chosen student passing the first examination is 0.8 and the probability of passing the second examination is 0.7. The probability of passing at least one of them is 0.95. What is the probability of passing both?

Answer:

Let A be the event that the student passes the first examination and B be the event that the student passes the second examination.

P(A B) is the probability of passing at least one of the examinations.

Therefore,

P(A B) = 0.95 , P(A)=0.8, P(B)=0.7

We know,

P(A B) = P(A)+ P(B) - P(A B)

P(A B) = 0.8 + 0.7 - 0.95 = 1.5 -0.95 = 0.55

Hence, the probability that the student will pass both the examinations is 0.55

Question:20 The probability that a student will pass the final examination in both English and Hindi is 0.5 and the probability of passing neither is 0.1. If the probability of passing the English examination is 0.75, what is the probability of passing the Hindi examination?

Answer:

Let A be the event that the student passes the English examination and B be the event that the students pass the Hindi examination.

Given,

P(A)=0.75, P(A B) = 0.5, P(A' B') =0.1

We know,

P(A' B') = 1 - P(A B)

P(A B) = 1 - 0.1 = 0.9

Also,

P(A B) = P(A)+ P(B) - P(A B)

P(B) = 0.9 - 0.75 + 0.5 = 0.65

Hence, the probability of passing the Hindi examination is 0.65

Question:21 In a class of 60 students, 30 opted for NCC, 32 opted for NSS and 24 opted for both NCC and NSS. If one of these students is selected at random, find the probability that

(i) The student opted for NCC or NSS.

(ii) The student has opted neither NCC nor NSS.

(iii) The student has opted NSS but not NCC.

Answer:

Let A be the event that the student opted for NCC and B be the event that the student opted for NSS.

Given,

n(S) = 60, n(A) = 30, n(B) =32, n(A B) = 24

Therefore, P(A) = 3060=12

P(B) = 3260=815

P(A B) = 2460=25

(i) We know,

P(A B) = P(A)+ P(B) - P(A B)

12+81525=15+161230

=1930

Hence, the probability that the student opted for NCC or NSS is 1930

(ii) Now,

Probability that the student has opted neither NCC nor NSS = P(A' B' )

We know,

P(A' B' ) = 1 - P(A B) [De morgan's law]

And, P(A B) = P(A)+ P(B) - P(A B)

=1930

P(A' B' )

=11930=1130

Hence, the probability that the student has opted neither NCC nor NSS. is 1130

(iii) Now,

Probability that the student has opted NSS but not NCC = P(B A' ) = P(B-A)

We know,

P(B-A) = P(B) - P(A B)

=81525=8615

=215

Hence,the probability that the student has opted NSS but not NCC is 215

Probability class 11 solutions: Miscellaneous Exercise
Page number: 310-311
Total questions: 10

Question:1 A box contains 10 red marbles, 20 blue marbles, and 30 green marbles. 5 marbles are drawn from the box, what is the probability that

(i) all will be blue?

(i) atleast one will be green?

Answer:

Given,

No. of red marbles = 10

No. of blue marbles = 20

No. of green marbles = 30

Total number of marbles = 10 + 20 + 30 = 60

Number of ways of drawing 5 marbles from 60 marbles = 60C5

(i) Number of ways of drawing 5 blue marbles from 20 blue marbles = 20C5

Probability of drawing all blue marbles = 20C560C5

(ii). We know,

The probability that at least one marble is green = 1 - Probability that no marble is green

Now, Number of ways of drawing no green marbles = Number of ways of drawing only red and blue marbles

= (20+10)C5=30C5

The probability that no marble is green = 30C560C5

The probability that at least one marble is green = 130C560C5

Question:2 4 cards are drawn from a well–shuffled deck of 52 cards. What is the probability of obtaining 3 diamonds and one spade?

Answer:

Total number of ways of drawing 4 cards from a deck of 52 cards = 52C4

We know that there are 13 diamonds and 13 spades in a deck.

Now, Number of ways of drawing 3 diamonds and 1 spade = 13C3.13C1

Probability of obtaining 3 diamonds and 1 spade

=13C3.13C152C4

Question:3. A die has two faces each with number '1', three faces each with number ‘2’ and one face with number ‘3’. If die is rolled once, determine

(i) P(2)

(ii) P(1 or 3)

(iii) P(not 3)

Answer:

Total number of faces of a die = 6

(i) Number of faces with number '2' = 3

P(2)=36 =12

Therefore, required probability P(2) is 0.5

(ii) P (1 or 3) = P (not 2) = 1 − P (2)

=1P(2)=136 =12

Therefore, required probability P(1 or 3) is 0.5

(iii) Number of faces with number '3' = 1

P(3)=16

P(not 3) = 1 - P(3)

=116=56

Therefore, required probability P(not 3) is 56

Question:4 In a certain lottery 10,000 tickets are sold and ten equal prizes are awarded. What is the probability of not getting a prize if you buy

(a) one ticket

(b) two tickets

(c) 10 tickets

Answer:

Given the total number of tickets sold = 10,000

Number of prizes awarded = 10

(a) If one ticket is bought,

P(getting a prize) = 1010000=11000

P(not getting a prize) = 1 - P(getting a prize)

111000=9991000

(b) If two tickets are bought:

Number of tickets not awarded = 10000 - 10 = 9990

P(not getting a prize) = 9990C210000C2

(c) If ten tickets are bought:

Number of tickets not awarded = 10000 - 10 = 9990

P(not getting a prize) = 9990C1010000C10

Question:5 Out of 100 students, two sections of 40 and 60 are formed. If you and your friend are among the 100 students, what is the probability that

(a) you both enter the same section?

(b) you both enter the different sections?

Answer:

(a) Total number of students = 100

Let A and B be the two sections consisting of 40 and 60 students respectively.

Number of ways of selecting 2 students out of 100 students.= 100Cn

If both are in section A:

The number of ways of selecting 40 students out of 100 = 100C40 (The remaining 60 will automatically be in section B!)

The remaining 38 students are to be chosen out of (100-2 =) 98 students

Required probability if they both are in section A = 98C38100C40

Similarly,

If both are in section B:

The number of ways of selecting 60 students out of 100 =100C60=100C40 (The remaining 40 will automatically be in section A!)

The remaining 58 students are to be chosen out of (100-2 =) 98 students

Required probability if they both are in section B = 98C58100C60

Required probability that both are in the same section = Probability that both are in section A + Probability that both are in section B

= 98C38100C40+98C58100C60

=98C38+98C58100C40=98!38!.60!+98!58!.40!100!40!.60!

=85165=1733

Hence, the required probability that both are in the same section is 1733

(b) Total number of students = 100

Let A and B be the two sections consisting of 40 and 60 students respectively.

We found out in (a) that the probability that both students are in the same section is 1733

(b) Probability that both the students are in different sections = 11733 =1633

Question:6 Three letters are dictated to three persons and an envelope is addressed to each of them, the letters are inserted into the envelopes at random so that each envelope contains exactly one letter. Find the probability that at least one letter is in its proper envelope.

Answer:

Given, 3 letters are put in 3 envelopes.

The number of ways of putting the 3 different letters randomly = 3!

Number of ways that at least one of the 3 letters is in the correct envelope

= No. of ways that exactly 1 letter is in the correct envelope + No. of ways that 2 letters are in the correct envelope(The third is automatically placed correctly)

= No. of ways that exactly 1 letter is in the correct envelope + No. of ways that all the 3 letters are in the correct envelope

= (3C1×1)+1=4

(Explanation for 3C1×1 :

No. of ways of selecting 1 envelope out of 3 = 3C1 .

If we put the correct letter in it, there is only one way the other two are put in the wrong envelope! )

Therefore, the probability that at least one letter is in its proper envelope = 43!=46=23

Question:7 A and B are two events such that P(A)=0.54 , P(B)=0.69 and P(AB)=0.35 Find

(i) P(AB)

(ii) P(AB)

(iii) P(AB)

(iv) P(BA)

Answer:

Given, P(A) = 0.54, P(B) = 0.69, P(A B) = 0.35

(i) We know, P(A B) = P(A) + P(B) - P(A B)

P(A B) = 0.54 + 0.69 - 0.35 = 0.88

P(A B) = 0.88

(ii) AB=(AB) [De Morgan’s law]

So, P(AB)=P(AB)=1P(AB)=10.88=0.12

P(AB)=0.12

(iii) P(A B') = P(A-B) = P(A) - P(A B)

= 0.54 - 0.35 = 0.19

P(A B') = 0.19

(iv) P(B A') = P(B-A) = P(B) - P(A B)

= 0.69 - 0.35 = 0.34

P(B A') = 0.34

Question:8 From the employees of a company, 5 persons are selected to represent them in the managing committee of the company. Particulars of five persons are as follows:

S. No.
Name
Sex
Age in years
1.
Harish
M
30
2.
Rohan
M
33
3.
Sheetal
F
46
4.
Alis
F
28
5.
Salim
M
41

A person is selected at random from this group to act as a spokesperson. What is the probability that the spokesperson will be either male or over 35 years?

Answer:

Given,

Total number of persons = 5

No. of male spokesperson = 3

No. of spokesperson who is over 35 years of age = 2

Let E be the event that the spokesperson is a male and F be the event that the spokesperson is over 35 years of age.

P(E)=35 and P(F)=25

Since only one male is over 35 years of age,

P(EF)=15

We know,

P(EF)=P(E)+P(F)P(EF)

P(EF)=35+2515=45

Therefore, the probability that the spokesperson will either be a male or over 35 years of age is 45 .

Question:9 If 4 -digit numbers greater than 5000 are randomly formed from the digits 0,1,3,5 and 7 , what is the probability of forming a number divisible by 5 when,

(i) the digits are repeated?

(ii) the repetition of digits is not allowed?

Answer:

(i) Since 4-digit numbers greater than 5000 are to be formed,

The 1000s place digit can be filled up by either 7 or 5 in 2C1 ways

Since repetition is allowed,

Each of the remaining 3 places can be filled by any of the digits 0, 1, 3, 5, or 7 in 5 ways.

Total number of 4-digit numbers greater than 5000 = 2C1×5×5×51

=2501=249 (5000 cannot be counted, hence one less)

We know, that a number is divisible by 5 if unit’s place digit is either 0 or 5.

Total number of 4-digit numbers greater than 5000 that are divisible by 5 = 2C1×5×5×2C11 =1001=99

Therefore, the required probability =

P(with repetition)=99249=3383

(ii) Since 4-digit numbers greater than 5000 are to be formed,

The 1000s place digit can be filled up by either 7 or 5 in 2C1 ways

Since repetition is not allowed,

The remaining 3 places can be filled by the remaining 4 digits in 4C3×3! ways.

Total number of 4-digit numbers greater than 5000 = 2C1×(4C3×3!)=2×4×6=48

We know, that a number is divisible by 5 if the unit’s place digit is either 0 or 5.

Case 1. When the digit at 1000s place is 5, the unit place can be filled only with 0.

And the 100s & 10s places can be filled with any two of the remaining digits {1,3,7} in 3C2×2!

Number of 4-digit numbers starting with 5 and divisible by 5 = 1×3C2×2!=1.3.2=6

Case 2. When the digit at 1000's place is 7, the unit place can be filled by 0 or 5 in 2 ways.

And the 100s & 10s places can be filled with any two of the remaining 3 digits in 3C2×2!

Number of 4-digit numbers starting with 7 and divisible by 5 = 1×2×(3C2×2!)=1.2.3.2=12

Total number of 4-digit numbers greater than 5000 that are divisible by 5 = 6 + 12 = 18

Therefore, the required probability =

P(without repetition)=1848=38

Question:10 The number lock of a suitcase has 4 wheels, each labelled with ten digits i.e., from 0 to 9. The lock opens with a sequence of four digits with no repeats. What is the probability of a person getting the right sequence to open the suitcase?

Answer:

Given that, each wheel can be labelled with 10 digits.

Number of ways of selecting 4 different digits out of the 10 digits = 10C4

These 4 digits can arranged among themselves is 4! ways.

Number of four-digit numbers without repetitions =

10C4×4!=10!4!.6!×4!=10×9×8×7=5040

Number of combinations that can open the suitcase = 1

Required probability of getting the right sequence to open the suitcase = 15040

Interested students can practice class 11 maths chapter 14 question answer using the following exercises.

Importance of solving NCERT questions for class 11 Math Chapter 14

  • The probability class 11 solutions provide a detailed explanation of all the key concepts of probability, including sample space, events, probability distribution, conditional probability, and more.
  • The chapter 14 maths class 11 solutions are written in simple language, making it easy for students to comprehend and learn the concepts without any difficulty.
  • The class 11 probability NCERT solutions provide chapter-wise exercise solutions, which include both short-answer and long-answer type questions, along with step-by-step solutions.

NCERT Solutions for Class 11 - Subject Wise

Here are some useful links for NCERT books and the NCERT syllabus for class 11:

NCERT Books and NCERT Syllabus

Here are the subject-wise links for the NCERT solutions of class 11:

Frequently Asked Questions (FAQs)

1. What are the important topics covered in NCERT Solutions for Class 11 Maths Chapter 14?

NCERT Solutions for Class 11 Maths Chapter 16, Probability, includes key topics such as random experiments, sample space, events, axioms of probability, and conditional probability. These are key concepts that enable students to establish a strong base in probability theory, which is necessary for further studies and competitive exams.

2. Where can I find NCERT Solutions for Class 11 Maths Chapter 14?

Students can find a detailed https://school.careers360.com/ncert/ncert-solutions-class-11-maths  by clicking on the link. they can practice these solutions to get confidence in the concepts and in-depth understanding that ultimately lead to high scores in the exam.

3. How do you calculate conditional probability in Class 11 Maths NCERT?

1. Find P(AB) : Determine the probability of both events occurring together.
2. Find P(B) : Determine the probability of event B occurring.
3. Apply the Formula: Use the formula for conditional probability.

4. What are some real-life applications of probability from Class 11 Maths Chapter 14?

Probability has numerous applications in everyday life, including weather forecasting to forecast rain possibilities, insurance and risk to determine policy rates, and medical diagnosis to provide disease probabilities. It is involved in gambling and lotteries to calculate winning probabilities, quality control in production to identify flaws, and stock market forecasts to determine investment risks. It is utilized by sports teams for planning strategies, genetics for forecasting hereditary characteristics using probability, traffic analysis to forecast accident risks, and election polls to predict voting results.

5. What is the difference between independent and dependent events in Class 11 Probability?

Independent events in Class 11 Probability are those in which the occurrence of one event does not influence the other, like rolling two dice or flipping a coin twice, with the formula P(A∩B)=P(A)×P(B). Dependent events, on the other hand, are events whose probability is affected by another event, such as drawing two cards without replacement or selecting marbles from a bag without replacing them.

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Option 1)

0.34\; J

Option 2)

0.16\; J

Option 3)

1.00\; J

Option 4)

0.67\; J

A person trying to lose weight by burning fat lifts a mass of 10 kg upto a height of 1 m 1000 times.  Assume that the potential energy lost each time he lowers the mass is dissipated.  How much fat will he use up considering the work done only when the weight is lifted up ?  Fat supplies 3.8×107 J of energy per kg which is converted to mechanical energy with a 20% efficiency rate.  Take g = 9.8 ms−2 :

Option 1)

2.45×10−3 kg

Option 2)

 6.45×10−3 kg

Option 3)

 9.89×10−3 kg

Option 4)

12.89×10−3 kg

 

An athlete in the olympic games covers a distance of 100 m in 10 s. His kinetic energy can be estimated to be in the range

Option 1)

2,000 \; J - 5,000\; J

Option 2)

200 \, \, J - 500 \, \, J

Option 3)

2\times 10^{5}J-3\times 10^{5}J

Option 4)

20,000 \, \, J - 50,000 \, \, J

A particle is projected at 600   to the horizontal with a kinetic energy K. The kinetic energy at the highest point

Option 1)

K/2\,

Option 2)

\; K\;

Option 3)

zero\;

Option 4)

K/4

In the reaction,

2Al_{(s)}+6HCL_{(aq)}\rightarrow 2Al^{3+}\, _{(aq)}+6Cl^{-}\, _{(aq)}+3H_{2(g)}

Option 1)

11.2\, L\, H_{2(g)}  at STP  is produced for every mole HCL_{(aq)}  consumed

Option 2)

6L\, HCl_{(aq)}  is consumed for ever 3L\, H_{2(g)}      produced

Option 3)

33.6 L\, H_{2(g)} is produced regardless of temperature and pressure for every mole Al that reacts

Option 4)

67.2\, L\, H_{2(g)} at STP is produced for every mole Al that reacts .

How many moles of magnesium phosphate, Mg_{3}(PO_{4})_{2} will contain 0.25 mole of oxygen atoms?

Option 1)

0.02

Option 2)

3.125 × 10-2

Option 3)

1.25 × 10-2

Option 4)

2.5 × 10-2

If we consider that 1/6, in place of 1/12, mass of carbon atom is taken to be the relative atomic mass unit, the mass of one mole of a substance will

Option 1)

decrease twice

Option 2)

increase two fold

Option 3)

remain unchanged

Option 4)

be a function of the molecular mass of the substance.

With increase of temperature, which of these changes?

Option 1)

Molality

Option 2)

Weight fraction of solute

Option 3)

Fraction of solute present in water

Option 4)

Mole fraction.

Number of atoms in 558.5 gram Fe (at. wt.of Fe = 55.85 g mol-1) is

Option 1)

twice that in 60 g carbon

Option 2)

6.023 × 1022

Option 3)

half that in 8 g He

Option 4)

558.5 × 6.023 × 1023

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Option 1)

less than 3

Option 2)

more than 3 but less than 6

Option 3)

more than 6 but less than 9

Option 4)

more than 9

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