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Examples (Revised) - Chapter 16 - Probability - Ncert Solutions class 11 - Maths

Updated On 26-08-2025 By Lithanya


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Chapter 14: Probability - NCERT Solutions for Class 11 Maths

Example 1

Consider the experiment of rolling a die. Let $\mathrm{A}$ be the event 'getting a prime number', B be the event 'getting an odd number'. Write the sets representing the events (i) Aor B (ii) A and B (iii) A but not B (iv) 'not A'.
Solution

Here $\quad \mathrm{S}=\{1,2,3,4,5,6\}, \mathrm{A}=\{2,3,5\}$ and $\mathrm{B}=\{1,3,5\}$
Obviously
(i) ' $\mathrm{A}$ or $\mathrm{B}$ ' $=\mathrm{A} \cup \mathrm{B}=\{1,2,3,5\}$
(ii) ' $\mathrm{A}$ and $\mathrm{B}$ ' $\mathrm{A} \cap \mathrm{B}=\{3,5\}$
(iii) 'A but not $\mathrm{B}$ ' $=\mathrm{A}-\mathrm{B}=\{2\}$
(iv) 'not $\mathrm{A}^{\prime}=\mathrm{A}^{\prime}=\{1,4,6\}$

Example 2

Two dice are thrown and the sum of the numbers which come up on the dice is noted. Let us consider the following events associated with this experiment
A: 'the sum is even'.
B: 'the sum is a multiple of 3 '.
C: 'the sum is less than 4 '.
$\mathrm{D}$ : 'the sum is greater than 11 '.

Which pairs of these events are mutually exclusive?

Solution

There are 36 elements in the sample space $\mathrm{S}=\{(x, y)$ : $x, y=1,2,3,4,5,6\}$. Then
$
\begin{aligned}
\mathrm{A}= & \{(1,1),(1,3),(1,5),(2,2),(2,4),(2,6),(3,1),(3,3),(3,5),(4,2),(4,4), \\
& (4,6),(5,1),(5,3),(5,5),(6,2),(6,4),(6,6)\} \\
\mathrm{B}= & \{(1,2),(2,1),(1,5),(5,1),(3,3),(2,4),(4,2),(3,6),(6,3),(4,5),(5,4), \\
& (6,6)\} \\
\mathrm{C}= & \{(1,1),(2,1),(1,2)\} \text { and } \mathrm{D}=\{(6,6)\}
\end{aligned}
$

We find that
$
\mathrm{A} \cap \mathrm{B}=\{(1,5),(2,4),(3,3),(4,2),(5,1),(6,6)\} \neq \phi
$

Therefore, $\mathrm{A}$ and $\mathrm{B}$ are not mutually exclusive events.
Similarly $\mathrm{A} \cap \mathrm{C} \neq \phi, \mathrm{A} \cap \mathrm{D} \neq \phi, \mathrm{B} \cap \mathrm{C} \neq \phi$ and $\mathrm{B} \cap \mathrm{D} \neq \phi$.
Thus, the pairs of events, (A, C), (A, D), (B, C), (B, D) are not mutually exclusive events.
Also $\mathrm{C} \cap \mathrm{D}=\phi$ and so $\mathrm{C}$ and $\mathrm{D}$ are mutually exclusive events.
Example 3

$\mathrm{~A}$ coin is tossed three times, consider the following events.
A: 'No head appears', B: 'Exactly one head appears' and C: 'Atleast two heads appear'.
Do they form a set of mutually exclusive and exhaustive events?
Solution

The sample space of the experiment is
$\mathrm{S}=\{\mathrm{HHH}, \mathrm{HHT}, \mathrm{HTH}, \mathrm{THH}, \mathrm{HTT}, \mathrm{THT}, \mathrm{TTH}, \mathrm{TTT}\}$
and $\mathrm{A}=\{\mathrm{TTT}\}, \mathrm{B}=\{\mathrm{HTT}, \mathrm{THT}, \mathrm{TTH}\}, \mathrm{C}=\{\mathrm{HHT}, \mathrm{HTH}, \mathrm{THH}, \mathrm{HHH}\}$
Now
$\mathrm{A} \cup \mathrm{B} \cup \mathrm{C}=\{\mathrm{TTT}, \mathrm{HTT}, \mathrm{THT}, \mathrm{TTH}, \mathrm{HHT}, \mathrm{HTH}, \mathrm{THH}, \mathrm{HHH}\}=\mathrm{S}$

Therefore, $\mathrm{A}, \mathrm{B}$ and $\mathrm{C}$ are exhaustive events.
Also, $\mathrm{A} \cap \mathrm{B}=\phi, \mathrm{A} \cap \mathrm{C}=\phi$ and $\mathrm{B} \cap \mathrm{C}=\phi$
Therefore, the events are pair-wise disjoint, i.e., they are mutually exclusive.
Hence, A, B and C form a set of mutually exclusive and exhaustive events.

Example 4

Let a sample space be $\mathrm{S}=\left\{\omega_1, \omega_2, \ldots, \omega_6\right\}$. Which of the following assignments of probabilities to each outcome are valid?

Solution

(a) Condition (i): Each of the number $\mathrm{p}\left(\omega_i\right)$ is positive and less than one.
Condition (ii): Sum of probabilities
$
=\frac{1}{6}+\frac{1}{6}+\frac{1}{6}+\frac{1}{6}+\frac{1}{6}+\frac{1}{6}=1
$

Therefore, the assignment is valid
(b) Condition (i): Each of the number $p\left(\omega_i\right)$ is either 0 or 1.
Condition (ii) Sum of the probabilities $=1+0+0+0+0+0=1$
Therefore, the assignment is valid
(c) Condition (i) Two of the probabilities $p\left(\omega_5\right)$ and $p\left(\omega_6\right)$ are negative, the assignment is not valid
(d) Since $p\left(\omega_6\right)=\frac{3}{2}>1$, the assignment is not valid

(e) Since, sum of probabilities $=0.1+0.2+0.3+0.4+0.5+0.6=2.1$, the assignment is not valid.

Example 5

One card is drawn from a well shuffled deck of 52 cards. If each outcome is equally likely, calculate the probability that the card will be
(i) a diamond
(ii) not an ace
(iii) a black card (i.e., a club or, a spade)
(iv) not a diamond
(v) not a black card.

Solution

When a card is drawn from a well shuffled deck of 52 cards, the number of possible outcomes is 52 .
(i) Let A be the event 'the card drawn is a diamond' Clearly the number of elements in set $\mathrm{A}$ is 13 .

Therefore, $\mathrm{P}(\mathrm{A})=\frac{13}{52}=\frac{1}{4}$
i.e. probability of a diamond $\operatorname{card}=\frac{1}{4}$
(ii) We assume that the event 'Card drawn is an ace' is B

Therefore 'Card drawn is not an ace' should be B'.
We know that $\mathrm{P}\left(\mathrm{B}^{\prime}\right)=1-\mathrm{P}(\mathrm{B})=1-\frac{4}{52}=1-\frac{1}{13}=\frac{12}{13}$
(iii) Let $\mathrm{C}$ denote the event 'card drawn is black card'

Therefore, number of elements in the set $\mathrm{C}=26$
i.e. $\quad \mathrm{P}(\mathrm{C})=\frac{26}{52}=\frac{1}{2}$

Thus, probability of a black card $=\frac{1}{2}$.
(iv) We assumed in (i) above that $\mathrm{A}$ is the event 'card drawn is a diamond', so the event 'card drawn is not a diamond' may be denoted as A' or 'not A'
Now $\mathrm{P}($ not $\mathrm{A})=1-\mathrm{P}(\mathrm{A})=1-\frac{1}{4}=\frac{3}{4}$
(v) The event 'card drawn is not a black card' may be denoted as $\mathrm{C}^{\prime}$ or 'not $\mathrm{C}$ '.

We know that $\mathrm{P}($ not $\mathrm{C})=1-\mathrm{P}(\mathrm{C})=1-\frac{1}{2}=\frac{1}{2}$
Therefore, probability of not a black $\operatorname{card}=\frac{1}{2}$
Example 6

A bag contains 9 discs of which 4 are red, 3 are blue and 2 are yellow. The discs are similar in shape and size. A disc is drawn at random from the bag. Calculate the probability that it will be (i) red, (ii) yellow, (iii) blue, (iv) not blue, (v) either red or blue.

Solution

There are 9 discs in all so the total number of possible outcomes is 9 .
Let the events $\mathrm{A}, \mathrm{B}, \mathrm{C}$ be defined as
A: 'the disc drawn is red'
B: 'the disc drawn is yellow'
C: 'the disc drawn is blue'.
(i) The number of red discs $=4$, i.e., $n$ (A) $=4$

Hence $\quad \mathrm{P}(\mathrm{A})=\frac{4}{9}$
(ii) The number of yellow discs $=2$, i.e., $n(\mathrm{~B})=2$

Therefore, $\quad \mathrm{P}(\mathrm{B})=\frac{2}{9}$
(iii) The number of blue discs $=3$, i.e., $n(\mathrm{C})=3$

Therefore, $\quad \mathrm{P}(\mathrm{C})=\frac{3}{9}=\frac{1}{3}$
(iv) Clearly the event 'not blue' is 'not $\mathrm{C}$ '. We know that $\mathrm{P}($ not $\mathrm{C})=1-\mathrm{P}(\mathrm{C})$

Therefore
$
\mathrm{P}(\operatorname{not} \mathrm{C})=1-\frac{1}{3}=\frac{2}{3}
$
(v) The event 'either red or blue' may be described by the set 'A or C'

Since, A and $\mathrm{C}$ are mutually exclusive events, we have
$
\mathrm{P}(\mathrm{A} \text { or } \mathrm{C})=\mathrm{P}(\mathrm{A} \cup \mathrm{C})=\mathrm{P}(\mathrm{A})+\mathrm{P}(\mathrm{C})=\frac{4}{9}+\frac{1}{3}=\frac{7}{9}
$

Example 7

Two students Anil and Ashima appeared in an examination. The probability that Anil will qualify the examination is 0.05 and that Ashima will qualify the examination is 0.10 . The probability that both will qualify the examination is 0.02 . Find the probability that
(a) Both Anil and Ashima will not qualify the examination.
(b) Atleast one of them will not qualify the examination and
(c) Only one of them will qualify the examination.

Solution

Let $\mathrm{E}$ and $\mathrm{F}$ denote the events that Anil and Ashima will qualify the examination, respectively. Given that
$
\mathrm{P}(\mathrm{E})=0.05, \mathrm{P}(\mathrm{F})=0.10 \text { and } \mathrm{P}(\mathrm{E} \cap \mathrm{F})=0.02 \text {. }
$

Then
(a) The event 'both Anil and Ashima will not qualify the examination' may be expressed as $\mathrm{E}^{\prime} \cap \mathrm{F}^{\prime}$.

Since, $\quad E$ ' is 'not E', i.e., Anil will not qualify the examination and $F$ ' is 'not F', i.e., Ashima will not qualify the examination.
Also $\quad \mathrm{E}^{\prime} \cap \mathrm{F}^{\prime}=(\mathrm{E} \cup \mathrm{F})^{\prime}($ by Demorgan's Law $)$

Now $\quad \mathrm{P}(\mathrm{E} \cup \mathrm{F})=\mathrm{P}(\mathrm{E})+\mathrm{P}(\mathrm{F})-\mathrm{P}(\mathrm{E} \cap \mathrm{F})$
or $\quad \mathrm{P}(\mathrm{E} \cup \mathrm{F})=0.05+0.10-0.02=0.13$
Therefore $\mathrm{P}\left(\mathrm{E}^{\prime} \cap \mathrm{F}^{\prime}\right)=\mathrm{P}(\mathrm{E} \cup \mathrm{F})^{\prime}=1-\mathrm{P}(\mathrm{E} \cup \mathrm{F})=1-0.13=0.87$
(b) $\mathrm{P}$ (atleast one of them will not qualify)
$=1-\mathrm{P}$ (both of them will qualify)
$=1-0.02=0.98$
(c) The event only one of them will qualify the examination is same as the event either (Anil will qualify, and Ashima will not qualify) or (Anil will not qualify and Ashima

will qualify) i.e., $\mathrm{E} \cap \mathrm{F}^{\prime}$ or $\mathrm{E}^{\prime} \cap \mathrm{F}$, where $\mathrm{E} \cap \mathrm{F}^{\prime}$ and $\mathrm{E}^{\prime} \cap \mathrm{F}$ are mutually exclusive.
Therefore, $\mathrm{P}$ (only one of them will qualify) $\quad \mathrm{P}\left(\mathrm{E} \cap \mathrm{F}^{\prime}\right.$ or $\mathrm{E}^{\prime} \cap \mathrm{F}$ )
$
\begin{aligned}
& =\mathrm{P}\left(\mathrm{E} \cap \mathrm{F}^{\prime}\right)+\mathrm{P}\left(\mathrm{E}^{\prime} \cap \mathrm{F}\right)=\mathrm{P}(\mathrm{E})-\mathrm{P}(\mathrm{E} \cap \mathrm{F})+\mathrm{P}(\mathrm{F})-\mathrm{P}(\mathrm{E} \cap \mathrm{F}) \\
& =0.05-0.02+0.10-0.02=0.11
\end{aligned}
$

Example 8

A committee of two persons is selected from two men and two women. What is the probability that the committee will have (a) no man? (b) one man? (c) two men?

Solution

The total number of persons $=2+2=4$. Out of these four person, two can be selected in ${ }^4 \mathrm{C}_2$ ways.
(a) No men in the committee of two means there will be two women in the committee. Out of two women, two can be selected in ${ }^2 \mathrm{C}_2=1$ way.

Therefore
$
\mathrm{P}(\text { no } \operatorname{man})=\frac{{ }^2 \mathrm{C}_2}{{ }^4 \mathrm{C}_2}=\frac{1 \times 2 \times 1}{4 \times 3}=\frac{1}{6}
$
(b) One man in the committee means that there is one woman. One man out of 2 can be selected in ${ }^2 \mathrm{C}_1$ ways and one woman out of 2 can be selected in ${ }^2 \mathrm{C}_1$ ways.

Together they can be selected in ${ }^2 \mathrm{C}_1 \times{ }^2 \mathrm{C}_1$ ways.

Therefore
$
\mathrm{P}(\text { One man })=\frac{{ }^2 \mathrm{C}_1 \times{ }^2 \mathrm{C}_1}{{ }^4 \mathrm{C}_2}=\frac{2 \times 2}{2 \times 3}=\frac{2}{3}
$
(c) Two men can be selected in ${ }^2 \mathrm{C}_2$ way.

$\text { Hence } \quad \mathrm{P}(\text { Two men })=\frac{{ }^2 \mathrm{C}_2}{{ }^4 \mathrm{C}_2}=\frac{1}{{ }^4 \mathrm{C}_2}=\frac{1}{6}$