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Chapter 14 of 14
NCERT Solutions

Probability — NCERT Solutions

CBSE · Class 11 · Mathematics

NCERT Solutions for Probability, CBSE Class 11 Mathematics: 38 textbook questions solved step by step. Part of the CBSE Class 11 Mathematics syllabus.

157 questions68 flashcards12 formulas & key relations5 concepts

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38 Questions Solved · 3 Sections

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Exercise 14.1

1A 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?Show solution

Given: A die is rolled. Sample space S = {1, 2, 3, 4, 5, 6}.

Event E = {4} (die shows 4)

Event F = {2, 4, 6} (die shows even number)

Check for mutual exclusivity: Two events are mutually exclusive if their intersection is empty, i.e., E ∩ F = φ.

E∩F={4}∩{2,4,6}={4}≠ϕE \cap F = \{4\} \cap \{2, 4, 6\} = \{4\} \neq \phi

Since E ∩ F ≠ φ, E and F are NOT mutually exclusive.

2A 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 number greater than 4
(vi) F: a number not less than 3
Also find A∪B, A∩B, B∪C, E∩F, D∩E, A−C, D−E, E∩F', F'
Show solution

Given: A die is thrown. Sample space S = {1, 2, 3, 4, 5, 6}.

(i) A: a number less than 7
A={1,2,3,4,5,6}=SA = \{1, 2, 3, 4, 5, 6\} = S

(ii) B: a number greater than 7
No face of a die shows a number greater than 7.
B=ϕB = \phi

(iii) C: a multiple of 3
C={3,6}C = \{3, 6\}

(iv) D: a number less than 4
D={1,2,3}D = \{1, 2, 3\}

(v) E: an even number greater than 4
E={6}E = \{6\}

(vi) F: a number not less than 3 (i.e., ≥ 3)
F={3,4,5,6}F = \{3, 4, 5, 6\}

Now the required set operations:

A∪B=S∪ϕ=S={1,2,3,4,5,6}A \cup B = S \cup \phi = S = \{1,2,3,4,5,6\}

A∩B=S∩ϕ=ϕA \cap B = S \cap \phi = \phi

B∪C=ϕ∪{3,6}={3,6}B \cup C = \phi \cup \{3,6\} = \{3,6\}

E∩F={6}∩{3,4,5,6}={6}E \cap F = \{6\} \cap \{3,4,5,6\} = \{6\}

D∩E={1,2,3}∩{6}=ϕD \cap E = \{1,2,3\} \cap \{6\} = \phi

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

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

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

E∩F′={6}∩{1,2}=ϕE \cap F' = \{6\} \cap \{1,2\} = \phi

F′={1,2}F' = \{1,2\}

3An 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.
Which pairs of these events are mutually exclusive?
Show solution

Given: A pair of dice is rolled. The sample space has 36 equally likely outcomes.

Event A: sum > 8
A={(3,6),(4,5),(5,4),(6,3),(4,6),(5,5),(6,4),(5,6),(6,5),(6,6)}A = \{(3,6),(4,5),(5,4),(6,3),(4,6),(5,5),(6,4),(5,6),(6,5),(6,6)\}

Event B: 2 occurs on either die
B={(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),(1,2),(3,2),(4,2),(5,2),(6,2)}B = \{(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),(1,2),(3,2),(4,2),(5,2),(6,2)\}

Event C: sum is at least 7 AND a multiple of 3 (i.e., sum = 9 or 12)
C={(3,6),(4,5),(5,4),(6,3),(6,6)}C = \{(3,6),(4,5),(5,4),(6,3),(6,6)\}

Checking mutual exclusivity:

A∩BA \cap B: For sum > 8 with a 2 on either die, the other die must show > 6, which is impossible.
A∩B=ϕA \cap B = \phi
So A and B are mutually exclusive.

A∩CA \cap C: {(3,6),(4,5),(5,4),(6,3),(6,6)}≠ϕ\{(3,6),(4,5),(5,4),(6,3),(6,6)\} \neq \phi
So A and C are not mutually exclusive.

B∩CB \cap C: For C, the sums are 9 or 12. With a 2 on either die, maximum sum = 2+6 = 8 < 9.
B∩C=ϕB \cap C = \phi
So B and C are mutually exclusive.

Conclusion: The pairs (A, B) and (B, C) are mutually exclusive.

4Three 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?
Show solution

Given: Three coins are tossed. Sample space:
S={HHH,HHT,HTH,THH,HTT,THT,TTH,TTT}S = \{HHH, HHT, HTH, THH, HTT, THT, TTH, TTT\}

The events are:

  • A={HHH}A = \{HHH\}
  • B={HHT,HTH,THH}B = \{HHT, HTH, THH\}
  • C={TTT}C = \{TTT\}
  • D={HHH,HHT,HTH,HTT}D = \{HHH, HHT, HTH, HTT\}

(i) Mutually exclusive events:
Two events are mutually exclusive if their intersection is empty.

  • A∩B=ϕA \cap B = \phi ✓
  • A∩C=ϕA \cap C = \phi ✓
  • B∩C=ϕB \cap C = \phi ✓
  • A∩D={HHH}≠ϕA \cap D = \{HHH\} \neq \phi ✗
  • B∩D={HHT,HTH}≠ϕB \cap D = \{HHT, HTH\} \neq \phi ✗
  • C∩D=ϕC \cap D = \phi ✓

Mutually exclusive pairs: (A, B), (A, C), (B, C), (C, D).

(ii) Simple events:
A simple event has only one sample point.

  • A={HHH}A = \{HHH\} — Simple
  • C={TTT}C = \{TTT\} — Simple

(iii) Compound events:
A compound event has more than one sample point.

  • B={HHT,HTH,THH}B = \{HHT, HTH, THH\} — Compound
  • D={HHH,HHT,HTH,HTT}D = \{HHH, HHT, HTH, HTT\} — Compound
5Three coins are tossed. Describe
(i) Two events which are mutually exclusive.
(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.
Show solution

Given: Three coins are tossed.
S={HHH,HHT,HTH,THH,HTT,THT,TTH,TTT}S = \{HHH, HHT, HTH, THH, HTT, THT, TTH, TTT\}

(i) Two mutually exclusive events:
Let E1E_1 = event of getting all heads = {HHH}\{HHH\}
Let E2E_2 = event of getting all tails = {TTT}\{TTT\}
E1∩E2=ϕE_1 \cap E_2 = \phi, so they are mutually exclusive.

(ii) Three mutually exclusive and exhaustive events:
Let AA = event of getting no head = {TTT}\{TTT\}
Let BB = event of getting exactly one head = {HTT,THT,TTH}\{HTT, THT, TTH\}
Let CC = event of getting at least two heads = {HHT,HTH,THH,HHH}\{HHT, HTH, THH, HHH\}
A∩B=ϕA \cap B = \phi, B∩C=ϕB \cap C = \phi, A∩C=ϕA \cap C = \phi (mutually exclusive)
A∪B∪C=SA \cup B \cup C = S (exhaustive)

(iii) Two events which are NOT mutually exclusive:
Let PP = event of getting at least two heads = {HHT,HTH,THH,HHH}\{HHT, HTH, THH, HHH\}
Let QQ = event of getting head on first coin = {HHH,HHT,HTH,HTT}\{HHH, HHT, HTH, HTT\}
P∩Q={HHH,HHT,HTH}≠ϕP \cap Q = \{HHH, HHT, HTH\} \neq \phi, so they are not mutually exclusive.

(iv) Two mutually exclusive but NOT exhaustive events:
Let XX = event of getting exactly one head = {HTT,THT,TTH}\{HTT, THT, TTH\}
Let YY = event of getting exactly two heads = {HHT,HTH,THH}\{HHT, HTH, THH\}
X∩Y=ϕX \cap Y = \phi (mutually exclusive)
X∪Y≠SX \cup Y \neq S (not exhaustive, since HHHHHH and TTTTTT are not included)

(v) Three mutually exclusive but NOT exhaustive events:
Let LL = {HHH}\{HHH\}, MM = {TTT}\{TTT\}, NN = {HTT}\{HTT\}
L∩M=ϕL \cap M = \phi, M∩N=ϕM \cap N = \phi, L∩N=ϕL \cap N = \phi (mutually exclusive)
L∪M∪N={HHH,TTT,HTT}≠SL \cup M \cup N = \{HHH, TTT, HTT\} \neq S (not exhaustive)

6Two 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) A∩B'∩C'
Show solution

Given: Two dice are thrown. Sample space has 36 outcomes.

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)}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)}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)}C = \{(1,1),(1,2),(1,3),(1,4),(2,1),(2,2),(2,3),(3,1),(3,2),(4,1)\}
(All pairs where sum ≤ 5)

(i) A' (not A) = B (getting an odd number on the first die)
A′=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)}A' = 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) not B = A (getting an even number on the first die)
B′=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' = 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)\}

(iii) A or B = A ∪ B = S (every outcome has either even or odd on first die)
A∪B=SA \cup B = S

(iv) A and B = A ∩ B = φ (first die cannot be both even and odd)
A∩B=ϕA \cap B = \phi

(v) A but not C = A − C = A ∩ C'
From A, remove elements that are also in C:
A∩C={(2,1),(2,2),(2,3),(4,1)}A \cap C = \{(2,1),(2,2),(2,3),(4,1)\}
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)}A - C = A \cap 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) B or C = B ∪ C
B∪C=B∪(C−B)B \cup C = B \cup (C - B); elements in C not in B: {(2,1),(2,2),(2,3),(4,1)}\{(2,1),(2,2),(2,3),(4,1)\}
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)}B \cup 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) B and C = B ∩ C
Elements common to both B and C (odd first die and sum ≤ 5):
B∩C={(1,1),(1,2),(1,3),(1,4),(3,1),(3,2),(5,1)}B \cap C = \{(1,1),(1,2),(1,3),(1,4),(3,1),(3,2),(5,1)\}

(viii) A ∩ B' ∩ C'
Since B′=AB' = A, we have A∩B′=A∩A=AA \cap B' = A \cap A = A.
So A∩B′∩C′=A∩C′=A−CA \cap B' \cap C' = A \cap C' = A - C
A∩B′∩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)}A \cap B' \cap 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)\}

7Refer to question 6 above, state true or false: (give 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.
Show solution

Using the events defined in Q.6:

  • A = getting even number on first die
  • B = getting odd number on first die
  • C = sum ≤ 5
  • A′=BA' = B, B′=AB' = A

(i) A and B are mutually exclusive — TRUE
A∩B=ϕA \cap B = \phi because the first die cannot show both an even and an odd number simultaneously.

(ii) A and B are mutually exclusive and exhaustive — TRUE
A∩B=ϕA \cap B = \phi (mutually exclusive) and A∪B=SA \cup B = S (every outcome has either even or odd on first die, so exhaustive).

(iii) A = B' — TRUE
B′=S−BB' = S - B = all outcomes where first die is NOT odd = all outcomes where first die is even = A.
Hence A=B′A = B'.

(iv) A and C are mutually exclusive — FALSE
A∩C={(2,1),(2,2),(2,3),(4,1)}≠ϕA \cap C = \{(2,1),(2,2),(2,3),(4,1)\} \neq \phi.
So A and C are not mutually exclusive.

(v) A and B' are mutually exclusive — FALSE
Since B′=AB' = A, we have A∩B′=A∩A=A≠ϕA \cap B' = A \cap A = A \neq \phi.
So A and B' are not mutually exclusive.

(vi) A', B', C are mutually exclusive and exhaustive — FALSE
A′=BA' = B and B′=AB' = A.
A′∩B′=B∩A=ϕA' \cap B' = B \cap A = \phi ✓
But A′∩C=B∩C={(1,1),(1,2),(1,3),(1,4),(3,1),(3,2),(5,1)}≠ϕA' \cap C = B \cap C = \{(1,1),(1,2),(1,3),(1,4),(3,1),(3,2),(5,1)\} \neq \phi.
Also B′∩C=A∩C≠ϕB' \cap C = A \cap C \neq \phi.
So they are NOT mutually exclusive, hence the statement is FALSE.

Exercise 14.2

1Which of the following cannot be valid assignment of probabilities for outcomes of sample space S = {ω₁, ω₂, ω₃, ω₄, ω₅, ω₆, ω₇}?
(a) 0.1, 0.01, 0.05, 0.03, 0.01, 0.2, 0.6
(b) 1/7, 1/7, 1/7, 1/7, 1/7, 1/7, 1/7
(c) 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7
(d) −0.1, 0.2, 0.3, 0.4, −0.2, 0.1, 0.3
(e) 1/14, 2/14, 3/14, 4/14, 5/14, 6/14, 15/14
Show solution

For a valid probability assignment, each P(ωi)P(\omega_i) must satisfy:

  1. 0≤P(ωi)≤10 \leq P(\omega_i) \leq 1 for all ii
  2. ∑i=17P(ωi)=1\sum_{i=1}^{7} P(\omega_i) = 1

(a) Values: 0.1, 0.01, 0.05, 0.03, 0.01, 0.2, 0.6
All values are between 0 and 1. ✓
Sum =0.1+0.01+0.05+0.03+0.01+0.2+0.6=1.00= 0.1 + 0.01 + 0.05 + 0.03 + 0.01 + 0.2 + 0.6 = 1.00 ✓
Valid assignment.

(b) Values: 17\frac{1}{7} each
All values are between 0 and 1. ✓
Sum =7×17=1= 7 \times \frac{1}{7} = 1 ✓
Valid assignment.

(c) Values: 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7
All values are between 0 and 1. ✓
Sum =0.1+0.2+0.3+0.4+0.5+0.6+0.7=2.8≠1= 0.1+0.2+0.3+0.4+0.5+0.6+0.7 = 2.8 \neq 1 ✗
NOT a valid assignment.

(d) Values: −0.1, 0.2, 0.3, 0.4, −0.2, 0.1, 0.3
P(ω1)=−0.1<0P(\omega_1) = -0.1 < 0 and P(ω5)=−0.2<0P(\omega_5) = -0.2 < 0 ✗
Probability cannot be negative.
NOT a valid assignment.

(e) Values: 114,214,314,414,514,614,1514\frac{1}{14}, \frac{2}{14}, \frac{3}{14}, \frac{4}{14}, \frac{5}{14}, \frac{6}{14}, \frac{15}{14}
1514>1\frac{15}{14} > 1 ✗
Probability cannot exceed 1.
NOT a valid assignment.

Conclusion: Assignments (c), (d), and (e) are not valid.

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

Given: A coin is tossed twice.

Sample space: S={HH,HT,TH,TT}S = \{HH, HT, TH, TT\}, so n(S)=4n(S) = 4.

Let A = event that at least one tail occurs.
A={HT,TH,TT}A = \{HT, TH, TT\}
n(A)=3n(A) = 3

P(A)=n(A)n(S)=34P(A) = \frac{n(A)}{n(S)} = \frac{3}{4}

The probability that at least one tail occurs is 34\dfrac{3}{4}.

3A die is thrown, find the probability of 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.
Show solution

Given: A die is thrown. Sample space S={1,2,3,4,5,6}S = \{1,2,3,4,5,6\}, n(S)=6n(S) = 6.

(i) A prime number will appear:
Prime numbers on a die: {2,3,5}\{2, 3, 5\}
P(prime)=36=12P(\text{prime}) = \frac{3}{6} = \frac{1}{2}

(ii) A number ≥ 3 will appear:
Favourable outcomes: {3,4,5,6}\{3, 4, 5, 6\}
P(≥3)=46=23P(\geq 3) = \frac{4}{6} = \frac{2}{3}

(iii) A number ≤ 1 will appear:
Favourable outcomes: {1}\{1\}
P(≤1)=16P(\leq 1) = \frac{1}{6}

(iv) A number more than 6 will appear:
No face shows a number > 6, so this is an impossible event.
P(>6)=06=0P(> 6) = \frac{0}{6} = 0

(v) A number less than 6 will appear:
Favourable outcomes: {1,2,3,4,5}\{1, 2, 3, 4, 5\}
P(<6)=56P(< 6) = \frac{5}{6}

4A 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) Calculate the probability that the card is (i) an ace (ii) black card.
Show solution

Given: A card is selected from a pack of 52 cards.

(a) The sample space consists of all 52 cards.
n(S)=52n(S) = 52
There are 52 points in the sample space.

(b) Probability that the card is an ace of spades:
There is only 1 ace of spades in the deck.
P(ace of spades)=152P(\text{ace of spades}) = \frac{1}{52}

(c)(i) Probability that the card is an ace:
There are 4 aces in a deck (one of each suit).
P(ace)=452=113P(\text{ace}) = \frac{4}{52} = \frac{1}{13}

(c)(ii) Probability that the card is a black card:
There are 26 black cards (13 spades + 13 clubs).
P(black card)=2652=12P(\text{black card}) = \frac{26}{52} = \frac{1}{2}

5A 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) 12Show solution

Given: A coin (faces: 1 and 6) and a fair die (faces: 1,2,3,4,5,6) are tossed.

Sample space: S={(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),(6,1),(6,2),(6,3),(6,4),(6,5),(6,6)}S = \{(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),(6,1),(6,2),(6,3),(6,4),(6,5),(6,6)\}
n(S)=12n(S) = 12

(i) Sum = 3:
Possible combinations: coin shows 1 and die shows 2, i.e., (1,2)(1, 2).
P(sum=3)=112P(\text{sum} = 3) = \frac{1}{12}

(ii) Sum = 12:
Possible combinations: coin shows 6 and die shows 6, i.e., (6,6)(6, 6).
P(sum=12)=112P(\text{sum} = 12) = \frac{1}{12}

6There 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?Show solution

Given: Total council members = 4 men + 6 women = 10.

Number of ways to select 1 woman = 6.
Total number of ways to select 1 member = 10.

P(woman is selected)=610=35P(\text{woman is selected}) = \frac{6}{10} = \frac{3}{5}

The probability that the selected member is a woman is 35\dfrac{3}{5}.

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

Given: Coin tossed 4 times. Win Re 1 per head, lose Rs 1.50 per tail.

Sample space has 24=162^4 = 16 equally likely outcomes.

Let hh = number of heads, tt = number of tails, where h+t=4h + t = 4.

Amount = 1×h−1.5×t=h−1.5(4−h)=h−6+1.5h=2.5h−61 \times h - 1.5 \times t = h - 1.5(4-h) = h - 6 + 1.5h = 2.5h - 6

Heads (h)Tails (t)Amount (Rs)No. of outcomes ((4h)\binom{4}{h})Probability
042.5(0)−6=−62.5(0)-6 = -61116\frac{1}{16}
132.5(1)−6=−3.502.5(1)-6 = -3.504416=14\frac{4}{16} = \frac{1}{4}
222.5(2)−6=−12.5(2)-6 = -16616=38\frac{6}{16} = \frac{3}{8}
312.5(3)−6=1.502.5(3)-6 = 1.504416=14\frac{4}{16} = \frac{1}{4}
402.5(4)−6=42.5(4)-6 = 41116\frac{1}{16}

There are 5 different amounts possible:

  • P(amount=−Rs 6)=116P(\text{amount} = -\text{Rs }6) = \dfrac{1}{16}
  • P(amount=−Rs 3.50)=14P(\text{amount} = -\text{Rs }3.50) = \dfrac{1}{4}
  • P(amount=−Re 1)=38P(\text{amount} = -\text{Re }1) = \dfrac{3}{8}
  • P(amount=Rs 1.50)=14P(\text{amount} = \text{Rs }1.50) = \dfrac{1}{4}
  • P(amount=Rs 4)=116P(\text{amount} = \text{Rs }4) = \dfrac{1}{16}
8Three coins are tossed once. Find the probability of getting
(i) 3 heads (ii) 2 heads (iii) at least 2 heads (iv) at most 2 heads (v) no head (vi) 3 tails (vii) exactly two tails (viii) no tail (ix) at most two tails
Show solution

Given: Three coins are tossed.
S={HHH,HHT,HTH,THH,HTT,THT,TTH,TTT},n(S)=8S = \{HHH, HHT, HTH, THH, HTT, THT, TTH, TTT\}, \quad n(S) = 8

(i) 3 heads: {HHH}\{HHH\}
P=18P = \frac{1}{8}

(ii) 2 heads: {HHT,HTH,THH}\{HHT, HTH, THH\}
P=38P = \frac{3}{8}

(iii) At least 2 heads: {HHT,HTH,THH,HHH}\{HHT, HTH, THH, HHH\}
P=48=12P = \frac{4}{8} = \frac{1}{2}

(iv) At most 2 heads: All outcomes except HHH: {HHT,HTH,THH,HTT,THT,TTH,TTT}\{HHT, HTH, THH, HTT, THT, TTH, TTT\}
P=78P = \frac{7}{8}

(v) No head: {TTT}\{TTT\}
P=18P = \frac{1}{8}

(vi) 3 tails: {TTT}\{TTT\}
P=18P = \frac{1}{8}

(vii) Exactly two tails: {HTT,THT,TTH}\{HTT, THT, TTH\}
P=38P = \frac{3}{8}

(viii) No tail: {HHH}\{HHH\}
P=18P = \frac{1}{8}

(ix) At most two tails: All outcomes except TTT: {HHH,HHT,HTH,THH,HTT,THT,TTH}\{HHH, HHT, HTH, THH, HTT, THT, TTH\}
P=78P = \frac{7}{8}

9If 211\frac{2}{11} is the probability of an event, what is the probability of the event 'not A'.Show solution

Given: P(A)=211P(A) = \dfrac{2}{11}

Formula: P(not A)=1−P(A)P(\text{not } A) = 1 - P(A)

P(A′)=1−211=11−211=911P(A') = 1 - \frac{2}{11} = \frac{11-2}{11} = \frac{9}{11}

The probability of event 'not A' is 911\dfrac{9}{11}.

10A letter is chosen at random from the word 'ASSASSINATION'. Find the probability that letter is (i) a vowel (ii) a consonantShow solution

Given: The word is ASSASSINATION.

Let us count the letters:
A-S-S-A-S-S-I-N-A-T-I-O-N

Total letters = 13

Vowels: A, A, A, I, I, O → 6 vowels
Consonants: S, S, S, S, N, T, N → 7 consonants

(i) Probability that the letter is a vowel:
P(vowel)=613P(\text{vowel}) = \frac{6}{13}

(ii) Probability that the letter is a consonant:
P(consonant)=713P(\text{consonant}) = \frac{7}{13}

11In 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?Show solution

Given: A person chooses 6 different numbers from 1 to 20.

The order of numbers does not matter.

Total ways to choose 6 numbers from 20:
n(S)=(206)=20!6!⋅14!=20×19×18×17×16×156×5×4×3×2×1=38760n(S) = \binom{20}{6} = \frac{20!}{6! \cdot 14!} = \frac{20 \times 19 \times 18 \times 17 \times 16 \times 15}{6 \times 5 \times 4 \times 3 \times 2 \times 1} = 38760

There is only 1 winning combination.

P(winning)=138760P(\text{winning}) = \frac{1}{38760}

The probability of winning the prize is 138760\dfrac{1}{38760}.

12Check whether the following probabilities P(A) and P(B) are consistently defined
(i) P(A) = 0.5, P(B) = 0.7, P(A∩B) = 0.6
(ii) P(A) = 0.5, P(B) = 0.4, P(A∪B) = 0.8
Show solution

For probabilities to be consistently defined, we need:

  • P(A∩B)≤P(A)P(A \cap B) \leq P(A) and P(A∩B)≤P(B)P(A \cap B) \leq P(B)
  • P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)
  • All probabilities must be between 0 and 1.

(i) P(A)=0.5P(A) = 0.5, P(B)=0.7P(B) = 0.7, P(A∩B)=0.6P(A \cap B) = 0.6

Here P(A∩B)=0.6>P(A)=0.5P(A \cap B) = 0.6 > P(A) = 0.5.

But A∩B⊆AA \cap B \subseteq A, so P(A∩B)≤P(A)P(A \cap B) \leq P(A) must hold.
Since 0.6>0.50.6 > 0.5, this is a contradiction.

Not consistently defined.

(ii) P(A)=0.5P(A) = 0.5, P(B)=0.4P(B) = 0.4, P(A∪B)=0.8P(A \cup B) = 0.8

Using the formula:
P(A∪B)=P(A)+P(B)−P(A∩B)P(A \cup B) = P(A) + P(B) - P(A \cap B)
0.8=0.5+0.4−P(A∩B)0.8 = 0.5 + 0.4 - P(A \cap B)
P(A∩B)=0.9−0.8=0.1P(A \cap B) = 0.9 - 0.8 = 0.1

Check: P(A∩B)=0.1≤P(A)=0.5P(A \cap B) = 0.1 \leq P(A) = 0.5 ✓ and P(A∩B)=0.1≤P(B)=0.4P(A \cap B) = 0.1 \leq P(B) = 0.4 ✓

Consistently defined.

13Fill in the blanks in following table:
(i) P(A) = 1/3, P(B) = 1/5, P(A∩B) = 1/15, P(A∪B) = ?
(ii) P(A) = 0.35, P(B) = ?, P(A∩B) = 0.25, P(A∪B) = 0.6
(iii) P(A) = 0.5, P(B) = 0.35, P(A∩B) = ?, P(A∪B) = 0.7

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14Given P(A) = 3/5 and P(B) = 1/5. Find P(A or B), if A and B are mutually exclusive events.

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15If E and F are events such that P(E) = 1/4, P(F) = 1/2 and P(E and F) = 1/8, find (i) P(E or F), (ii) P(not E and not F).

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

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17A 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) and (iii) P(A or B)

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18In 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.

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19In 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?

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20The 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?

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21In 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.

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Miscellaneous Exercise on Chapter 14

1A 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? (ii) at least one will be green?

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24 cards are drawn from a well-shuffled deck of 52 cards. What is the probability of obtaining 3 diamonds and one spade?

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3A 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)

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4In 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.

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5Out 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?

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6Three 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.

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7A and B are two events such that P(A) = 0.54, P(B) = 0.69 and P(A∩B) = 0.35. Find (i) P(A∪B) (ii) P(A'∩B') (iii) P(A∩B') (iv) P(B∩A')

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8From 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:
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?

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9If 4-digit numbers greater than 5,000 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?

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10The 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?

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