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Solve the Following Question.(3 Marks)

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21 questions · self-marked practice — reveal the answer and mark yourself.

Question 13 Marks
The odds against a husband who is 55 years old living till he is 75 is $8: 5$ and it is $4: 3$ against his wife who is now 48 , living till she is 68 . Find the probability that:
1.the couple will be alive 20 years hence
2. at least one of them will be alive 20 years hence.
Answer
Let $A$ be the event that husband would be alive after 20 years.
Odds against $\mathrm{A}$ are $8: 5$
$\therefore$ the probability of occurrence of event $\mathrm{A}$ is given by
$P(A)=\frac{5}{8+5}=\frac{5}{13}$
$\therefore P\left(A^{\prime}\right)=1-P(A)$
$=1-\frac{5}{13}$
$=\frac{8}{13}$
Let $B$ be the event that wife would be alive after 20 years.
Odds against $B$ are $4: 3$
$\therefore$ the probability of occurrence of event $B$ is given by
$\mathrm{P}(\mathrm{B})=\frac{3}{4+3}=\frac{3}{7}$
$\therefore \mathrm{P}\left(\mathrm{B}^{\prime}\right)=1-\mathrm{P}(\mathrm{B})$
$=1-\frac{3}{7}$
$=\frac{4}{7}$
Since $A$ and $B$ are independent events
$\therefore \mathrm{A}^{\prime}$ and $\mathrm{B}^{\prime}$ are also independent events
(i) Let $\mathrm{X}$ be the event that both will be alive after 20 years.
$\therefore P(X)=(A \cap B)$
$\therefore P(X)=P(A) \cdot P(B)$
$=\frac{5}{13} \times \frac{3}{7}$
$=\frac{15}{91}$
(ii) Let $Y$ be the event that at least one will be alive after 20 years.
$\therefore P(Y)=P(\text { at least one would be alive })$
$=1-P(\text { both would not be alive })$
$=1-P\left(A^{\prime} \cap B^{\prime}\right)$
$=1-P\left(A^{\prime}\right) . P\left(B^{\prime}\right)$
$=1-\frac{8}{13} \times \frac{4}{7}$
$=1-\frac{32}{91}$
$=\frac{59}{91}$
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Question 23 Marks
There are 2 red and 3 black balls in a bag. 3 balls are taken out at random from the bag. Find the probability of getting 2 red and 1 black ball or 1 red and 2 black balls.
Answer
There are $2+3=5$ balls in the bag and 3 balls can be drawn out of these in ${ }^5 C_3=\frac{5 \times 4 \times 3}{1 \times 2 \times 3}=10$ ways.
$
\therefore \mathrm{n}(\mathrm{S})=10
$
Let $\mathrm{A}$ be the event that 2 balls are red and 1 ball is black 2 red balls can be drawn out of 2 red balls in ${ }^2 \mathrm{C}_2=1$ way and 1 black ball can be drawn out of 3 black balls in ${ }^3 \mathrm{C}_1=3$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A})={ }^2 \mathrm{C}_2 \times{ }^3 \mathrm{C}_1=1 \times 3=3 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{3}{10}
\end{aligned}
$
Let $B$ be the event that 1 ball is red and 2 balls are black 1 red ball out of 2 red balls can be drawn in ${ }^2 C_1=2$ ways and 2 black balls out of 3 black balls can be drawn in ${ }^3 \mathrm{C}_2=\frac{3 \times 2}{1 \times 2}=3$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{B})={ }^2 \mathrm{C}_1 \times{ }^3 \mathrm{C}_2=2 \times 3=6 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{6}{10}
\end{aligned}
$
Since $A$ and $B$ are mutually exclusive and exhaustive events
$
\begin{aligned}
& \therefore P(A \cap B)=0 \\
& \therefore \text { Required probability }=P(A \cup B)=P(A)+P(B) \\
& =\frac{3}{10}+\frac{6}{10} \\
& =\frac{9}{10}
\end{aligned}
$
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Question 33 Marks
A room has 3 sockets for lamps. From a collection of 10 light bulbs, 6 are defective. A person selects 3 at random and puts them in every socket. What is the probability that the room, will be lit?
Answer
Total number of bulbs $=10$
Number of defective bulbs $=6$
$\therefore$ Number of non-defective bulbs $=4$
3 bulbs can be selected out of 10 light bulbs in ${ }^{10} \mathrm{C}_3$ ways.
$
\therefore \mathrm{n}(\mathrm{S})={ }^{10} \mathrm{C}_3
$
Let $\mathrm{A}$ be the event that room is lit.
$\therefore \mathrm{A}^{\prime}$ is the event that the room is not lit.
For $\mathrm{A}^{\prime}$ the bulbs should be selected from the 6 defective bulbs.
This can be done in ${ }^6 \mathrm{C}_3$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}\left(\mathrm{A}^{\prime}\right)={ }^6 \mathrm{C}_3 \\
& \therefore \mathrm{P}\left(\mathrm{A}^{\prime}\right)=\frac{\mathrm{n}\left(\mathrm{A}^{\prime}\right)}{\mathrm{n}(\mathrm{S})}=\frac{{ }^6 \mathrm{C}_3}{{ }^{10} \mathrm{C}_3} \\
& \therefore \mathrm{P}(\text { Room is lit) }=1-\mathrm{P} \text { (Room is not lit) } \\
& \therefore \quad \mathrm{P}(\mathrm{A})=1-\mathrm{P}\left(\mathrm{A}^{\prime}\right) \\
& =1-\frac{{ }^6 \mathrm{C}_3}{{ }^{10} \mathrm{C}_3} \\
& =1-\frac{6 \times 5 \times 4}{10 \times 9 \times 8} \\
& =1-\frac{1}{6}=\frac{5}{6}
\end{aligned}
$
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Question 43 Marks
Three groups of children contain respectively 3 girls and 1 boy, 2 girls and 2 boys and 1 girl and 3 boys. One child is selected at random from each group. What is the chance that the three selected consist of 1 girl and 2 boys?
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Question 53 Marks
A bag contains 8 red balls and 5 white balls. Two successive draws of 3 balls each are made without replacement. Find the probability that the first drawing will give 3 white balls and the second drawing will give 3 red balls.
Answer
Total number of balls $=8+5=13$.
3 balls can be drawn out of 13 balls in ${ }^{13} C_3$ ways.
$
\therefore \mathrm{n}(\mathrm{S})={ }^{13} \mathrm{C}_3
$
Let $\mathrm{A}$ be the event that all 3 balls drawn are white.
3 white balls can be drawn out of 5 white balls in ${ }^5 C_3$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A})={ }^5 \mathrm{C}_3 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{n(A)}{n(S)}=\frac{{ }^5 C_3}{{ }^{12} C_3}=\frac{5 \times 4 \times 3}{13 \times 12 \times 11}=\frac{5}{143}
\end{aligned}
$
After drawing 3 white balls which are not replaced in the bag, there are 10 balls left in the bag out of which 8 are red balls.
Let $B$ be the event that the second draw of 3 balls are red.
$\therefore$ Probability of drawing 3 red balls, given that 3 white balls have been already drawn, is given by
$
\begin{aligned}
& P(B / A)=\frac{{ }^8 C_3}{{ }^{10} C_3}=\frac{8 \times 7 \times 6}{10 \times 9 \times 8}=\frac{7}{15} \\
& \therefore \text { Required probability }=P(A \cap B) \\
& =P(A) \cdot P(B / A) \\
& =\frac{5}{143} \times \frac{7}{15} \\
& =\frac{7}{429}
\end{aligned}
$
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Question 63 Marks
Two throws are made, the first with 3 dice and the second with 2 dice. The faces of each die are marked with the number 1 to 6 . What is the probability that the total in the first throw is not less than 15 and at the same time the total in the second throw is not less than 8 ?
Answer
When 3 dice are thrown, then the sample space $S_1$ has $6 \times 6 \times 6=216$ sample points.
$
\therefore \mathrm{n}\left(\mathrm{S}_1\right)=216
$
Let $A$ be the event that the sum of the numbers is not less than 15 .
$
\begin{aligned}
& \therefore A=\{(3,6,6),(4,5,6),(4,6,5),(4,6,6),(5,4,6),(5,5,5),(5,5,6),(5,6,4),(5,6,5),(5,6,6), \\
& (6,3,6),(6,4,5),(6,4,6),(6,5,4),(6,5,5),(6,5,6),(6,6,3),(6,6,4),(6,6,5),(6,6,6)\} \\
& \therefore \mathrm{n}(\mathrm{A})=20 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}\left(\mathrm{S}_1\right)}=\frac{20}{216}=\frac{5}{54}
\end{aligned}
$
When 2 dice are thrown, the sample space $S_2$ has $6 \times 6=36$ sample points.
$
\therefore \mathrm{n}\left(\mathrm{S}_2\right)=36
$
Let $B$ be the event that sum of numbers is not less than 8 .
$
\begin{aligned}
& \therefore B=\{(2,6),(3,5),(3,6),(4,4),(4,5),(4,6),(5,3),(5,4),(5,5),(5,6),(6,2),(6,3),(6,4),(6,5), \\
& (6,6)\} \\
& \therefore \mathrm{n}(\mathrm{B})=15 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}\left(\mathrm{S}_2\right)}=\frac{\mathbf{1 5}}{36}=\frac{5}{12}
\end{aligned}
$
$A \cap B=$ Event that the total in the first throw is not less than 15 and at the same time the total in the second throw is not less than 8.
$\therefore A$ and $B$ are independent events
$
\begin{aligned}
& \therefore P(A \cap B)=P(A) \cdot P(B) \\
& =\frac{5}{54} \times \frac{5}{12} \\
& =\frac{25}{648}
\end{aligned}
$
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Question 73 Marks
In an examination, 30\% of the students have failed in subject I, $20 \%$ of the students have failed in subject II and $10 \%$ have failed in both subjects I and subject II. A student is selected at random, what is the probability that the student: has failed in
1.the subject I, if it is known that he is failed in subject II?
2.at least one subject?
3.exactly one subject?
Answer
Let $\mathrm{A}$ be the event that the student failed in Subject I $B$ be the event that the student failed in Subject II
Then $P(A)=30 \%=\frac{30}{100}$
$P(B)=20 \%=\frac{20}{100}$
and $P(A \cap B)=10 \%=\frac{10}{100}$
(i) $\mathrm{P}$ (student failed in Subject I, given that he has failed in Subject II) $=P(A / B)$
$\frac{\mathrm{P}(\mathrm{A} \cap \mathrm{B})}{\mathrm{P}(\mathrm{B})}=\frac{\left(\frac{10}{100}\right)}{\left(\frac{20}{100}\right)}=\frac{10}{20}=\frac{1}{2}$
(ii) $\mathrm{P}$ (student failed in at least one subject $)=P(A \cup B)$
$=P(A)+P(B)-P(A \cap B)$
$=\frac{30}{100}+\frac{20}{100}-\frac{10}{100}$
$=0.40$
(iii) $\mathrm{P}($ student failed in exactly one subject $)=\mathrm{P}(\mathrm{A})+\mathrm{P}(\mathrm{B})-2 \mathrm{P}(\mathrm{A} \cap \mathrm{B})$
$=\frac{30}{100}+\frac{20}{100}-2\left(\frac{10}{100}\right)$
$=0.30$
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Question 83 Marks
A problem in statistics is given to three students $A, B$, and $C$. Their chances of solving the problem are $1 / 3,1 / 4$, and $1 / 5$ respectively. If all of them try independently, what is the probability that,:
1.problem is solved?
2.problem is not solved?
3.exactly two students solve the problem?
Answer
Let $\mathrm{A}$ be the event that student $\mathrm{A}$ can solve the problem.
$B$ be the event that student $B$ can solve the problem.
$C$ be the event that student $C$ can solve problem.
$
\begin{aligned}
& \therefore P(A)=\frac{1}{3}, P(B)=\frac{1}{4}, P(C)=\frac{1}{5} \\
& \therefore P\left(A^{\prime}\right)=1-P(A)=1-\frac{1}{3}=\frac{2}{3} \\
& P\left(B^{\prime}\right)=1-P(B)=1-\frac{1}{4}=\frac{5}{4} \\
& P\left(C^{\prime}\right)=1-P(C)=1-\frac{1}{5}=\frac{4}{5}
\end{aligned}
$
Since A, B, C are independent events
$\therefore A^{\prime}, B^{\prime}, C^{\prime}$ are also independent events.:
1. Let $\mathrm{X}$ be the event that problem is solved.
Problem can be solved if at least one of the three students solves the problem.
$P(X)=P($ at least one student solves the problem)
$=1-P($ no student solved problem)
$=1-P\left(A^{\prime} \cap B^{\prime} \cap C^{\prime}\right)$
$=1-P\left(A^{\prime}\right) P\left(B^{\prime}\right) P\left(C^{\prime}\right)$
$=1-\frac{2}{3} \times \frac{3}{4} \times \frac{4}{5}$
$=1-\frac{2}{5}$
$
=\frac{3}{5}
$

2.Let $Y$ be the event that problem is not solved
$
\begin{aligned}
& \therefore P(Y)=P\left(A^{\prime} \cap B^{\prime} \cap C^{\prime}\right) \\
& =P\left(A^{\prime}\right) P\left(B^{\prime}\right) P\left(C^{\prime}\right) \\
& =\frac{2}{3} \times \frac{3}{4} \times \frac{4}{5} \\
& =\frac{2}{5}
\end{aligned}
$

3.Let $Z$ be the event that exactly two students solve the problem.
$
\begin{aligned}
& \therefore P(Z)=P\left(A \cap B \cap C^{\prime}\right) \cup P\left(A \cap B^{\prime} \cap C\right) \cup P\left(A^{\prime} \cap B \cap C\right) \\
& =P(A) \cdot P(B) \cdot P\left(C^{\prime}\right)+P(A) \cdot P\left(B^{\prime}\right) \cdot P(C)+P\left(A^{\prime}\right) \cdot P(B) \cdot P(C) \\
& =\left(\frac{1}{3} \times \frac{1}{4} \times \frac{4}{5}\right)+\left(\frac{1}{3} \times \frac{3}{4} \times \frac{1}{5}\right)+\left(\frac{2}{3} \times \frac{1}{4} \times \frac{1}{5}\right) \\
& =\frac{4}{60}+\frac{3}{60}+\frac{2}{60} \\
& =\frac{3}{20}
\end{aligned}
$

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Question 93 Marks
A card is drawn from a well-shuffled pack of 52 cards. Consider two events A and B as
A: a club card is drawn.
$B:$ an ace card is drawn.
Determine whether events A and B are independent or not.
Answer
One card can be drawn out of 52 cards in ${ }^{52} \mathrm{C}_1$ ways.
$
\therefore \mathrm{n}(\mathrm{S})={ }^{52} \mathrm{C}_1
$
Let $\mathrm{A}$ be the event that a club card is drawn.
1 club card out of 13 club cards can be drawn in ${ }^{13} \mathrm{C}_1$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A})={ }^{13} \mathrm{C}_1 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{{ }^{13} \mathrm{C}_1}{{ }^{52} \mathrm{C}_1}
\end{aligned}
$
Let $B$ be the event that an ace card is drawn.
An ace card out of 4 aces can be drawn in ${ }^4 C_1$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{B})={ }^4 \mathrm{C}_1 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{{ }^4 \mathrm{C}_1}{{ }^{52} \mathrm{C}_1}
\end{aligned}
$
Since 1 card is common between $A$ and $B$
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A} \cap \mathrm{B})={ }^1 \mathrm{C}_1 \\
& \therefore \mathrm{P}(\mathrm{A} \cap \mathrm{B})=\frac{\mathrm{n}(\mathrm{A} \cap \mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{{ }^1 \mathrm{C}_1}{{ }^{52} \mathrm{C}_1}=\frac{1}{52} \ldots \ldots . .(\mathrm{i}) \\
& \therefore \mathrm{P}(\mathrm{A}) \times \mathrm{P}(\mathrm{B})=\frac{{ }^{13} \mathrm{C}_1}{{ }^{52} \mathrm{C}_1} \times \frac{{ }^4 \mathrm{C}_1}{{ }^{52} \mathrm{C}_1}=\frac{13 \times 4}{52 \times 52}=\frac{1}{52} .
\end{aligned}
$
From (i) and (ii), we get
$
P(A \cap B)=P(A) \times P(B)
$
$\therefore \mathrm{A}$ and $\mathrm{B}$ are independent events.
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Question 103 Marks
A box contains 11 tickets numbered from 1 to 11 . Two tickets are drawn at random with replacement. If the sum is even, find the probability that both the numbers are odd.
Answer
Two tickets can be drawn from 11 tickets with replacement in $11 \times 11=121$ ways.
$
\therefore \mathrm{n}(\mathrm{S})=121
$
Let $\mathrm{A}$ be the event that the sum of two numbers is even.
The event A occurs, if either both the tickets with odd numbers or both the tickets with even numbers are drawn.

There are 6 odd numbers $(1,3,5,7,9,11)$ and 5 even numbers $(2,4,6,8,10)$ from 1 to 11 .
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A})=6 \times 6+5 \times 5 \\
& =36+25 \\
& =61 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{61}{121}
\end{aligned}
$
Let $B$ be the event that the numbers tickets drawn are odd
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{B})=6 \times 6=36 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{36}{121}
\end{aligned}
$
Since 6 odd numbers are common between $A$ and $B$.
$
\begin{aligned}
& \therefore n(A \cap B)=6 \times 6=36 \\
& \therefore P(A \cap B)=\frac{n(A \cap B)}{n(S)}=\frac{36}{121}
\end{aligned}
$
$\therefore$ Probability of both the numbers are odd, given that sum is even, is given by
$
P(B / A)=\frac{P(A \cap B)}{P(A)}=\frac{\frac{36}{121}}{\frac{61}{121}}=\frac{36}{61}
$

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Question 113 Marks
A pair of dice is thrown. If sum of the numbers is an even number, what is the probability that it is a perfect square?
Answer
When two dice are thrown simultaneously, the sample space is
$
\begin{aligned}
& S=\{(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),(3,1),(3,2),(3, \\
& 3),(3,4),(3,5),(3,6),(4,1),(4,2),(4,3),(4,4),(4,5),(4,6),(5,1),(5,2),(5,3),(5,4),(5,5),(5,6), \\
& (6,1),(6,2),(6,3),(6,4),(6,5),(6,6)\} \\
& \therefore \mathrm{n}(S)=36
\end{aligned}
$
Let $\mathrm{A}$ be the event that sum of the numbers is an even number.
$
\begin{aligned}
& \therefore \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)\} \\
& \therefore \mathrm{n}(\mathrm{A})=18 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{18}{36}
\end{aligned}
$
Let $B$ be the event that sum of outcomes is a perfect square.
$
\therefore B=\{(1,3),(2,2),(3,1),(3,6),(4,5),(5,4),(6,3)\}
$
Also, $A \cap B=\{(1,3),(2,2),(3,1)\}$
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A} \cap \mathrm{B})=3 \\
& \therefore \mathrm{P}(\mathrm{A} \cap \mathrm{B})=\frac{\mathrm{n}(\mathrm{A} \cap \mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{3}{36}
\end{aligned}
$
$\therefore$ Probability of sum of the numbers is a perfect square, given that sum of numbers is an even number, is given by
$
P(B / A)=\frac{P(A \cap B)}{P(A)}=\frac{\frac{3}{35}}{\frac{18}{25}}=\frac{3}{18}=\frac{1}{6}
$
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Question 123 Marks
Two dice are thrown simultaneously, if at least one of the dice shows a number 5 , what is the probability that sum of the numbers on two dice is 9 ?
Answer
When two dice are thrown simultaneously, the sample space is
$
S=\{(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),(3,1),(3,2),(3,
$
$3),(3,4),(3,5),(3,6),(4,1),(4,2),(4,3),(4,4),(4,5),(4,6),(5,1),(5,2),(5,3),(5,4),(5,5),(5,6)$,
$(6,1),(6,2),(6,3),(6,4),(6,5),(6,6)\}$
$
\therefore \mathrm{n}(\mathrm{S})=36
$
Let $\mathrm{A}$ be the event that at least one die shows number 5 .
$
\begin{aligned}
& \therefore \mathrm{A}=\{(1,5),(2,5),(3,5),(4,5),(5,1),(5,2),(5,3),(5,4),(5,5),(5,6),(6,5)\} \\
& \therefore \mathrm{n}(\mathrm{A})=11 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{11}{36}
\end{aligned}
$
Let $B$ be the event that sum of the numbers on two dice is 9 .
$
\therefore B=\{(3,6),(4,5),(5,4),(6,3)\}
$
Also, $A \cap B=\{(4,5),(5,4)\}$
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A} \cap \mathrm{B})=2 \\
& \therefore \mathrm{P}(\mathrm{A} \cap \mathrm{B})=\frac{n(A \cap B)}{n(S)}=\frac{2}{36}
\end{aligned}
$
$\therefore$ Probability of sum of numbers on two dice is 9 , given that one dice shows number 5 , is given by
$
P(B / A)=\frac{P(A \cap B)}{P(A)}=\frac{\frac{2}{3}}{\frac{11}{3}}=\frac{2}{11}
$
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Question 133 Marks
A bag contains 50 tickets, numbered from 1 to 50 . One ticket is drawn at random. What is the probability that: number on the ticket is a prime number or greater than 30 ?
Answer
Out of the 50 tickets, a ticket can be drawn in ${ }^{50} \mathrm{C}_1=50$ ways.
$
\therefore \mathrm{n}(\mathrm{S})=50
$: Let $\mathrm{A}$ be the event that the number on the ticket is a prime number.
$
\begin{aligned}
& \therefore \mathrm{A}=\{2,3,5,7,11,13,17,19,23,29,31,37,41,43,47\} \\
& \therefore \mathrm{n}(\mathrm{A})=15 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{15}{50}
\end{aligned}
$
Let $B$ be the event that the number is greater than 30 .
$
\begin{aligned}
& \therefore \mathrm{B}=\{31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50\} \\
& \therefore \mathrm{n}(\mathrm{B})=20 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{20}{50}
\end{aligned}
$
Now, $A \cap B=\{31,37,41,43,47\}$
$
\begin{aligned}
& \therefore n(A \cap B)=5 \\
& \therefore P(A \cap B)=\frac{n(A \cap B)}{n(S)}=\frac{5}{50} \\
& \therefore \text { Required probability }=P(A \cup B) \\
& P(A \cup B)=P(A)+P(B)-P(A \cap B) \\
& =\frac{15}{50}+\frac{20}{50}-\frac{5}{50} \\
& =\frac{15+20-5}{50} \\
& =\frac{3}{5}
\end{aligned}
$
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Question 143 Marks
A bag contains 50 tickets, numbered from 1 to 50 . One ticket is drawn at random. What is the probability that: number on the ticket is a perfect square or divisible by 4 ?
Answer
Out of the 50 tickets, a ticket can be drawn in ${ }^{50} \mathrm{C}_1=50$ ways.
$
\therefore \mathrm{n}(\mathrm{S})=50
$: Let $\mathrm{A}$ be the event that the number on the ticket is a perfect square.
$
\begin{aligned}
& \therefore \mathrm{A}=\{1,4,9,16,25,36,49\} \\
& \therefore \mathrm{n}(\mathrm{A})=7 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{7}{50}
\end{aligned}
$
Let $B$ be the event that the number on the ticket is divisible by 4 .
$
\begin{aligned}
& \therefore \mathrm{B}=\{4,8,12,16,20,24,28,32,36,40,44,48\} \\
& \therefore \mathrm{n}(\mathrm{B})=12 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{12}{50}
\end{aligned}
$
Now, $A \cap B=\{4,16,36\}$
$
\begin{aligned}
& \therefore n(A \cap B)=3 \\
& \therefore P(A \cap B)=\frac{n(A \cap B)}{n(S)}=\frac{3}{50} \\
& \text { Required probability }=P(A \cup B) \\
& P(A \cup B)=P(A)+P(B)-P(A \cap B) \\
& =\frac{7}{50}+\frac{12}{50}-\frac{3}{50} \\
& =\frac{8}{25}
\end{aligned}
$
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Question 153 Marks
Two cards are drawn from a pack of 52 cards. What is the probability that,both the cards are either black or queens?
Answer
Two cards can be drawn from 52 cards in ${ }^{52} \mathrm{C}_2$ ways.
$
\therefore \mathrm{n}(\mathrm{S})={ }^{52} \mathrm{C}_2
$
Also, the pack of 52 cards consists of 26 red and 26 black cards. Let $\mathrm{A}$ be the event that both cards are black.
$\therefore 2$ black cards can be drawn in ${ }^{26} \mathrm{C}_2$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A})={ }^{26} \mathrm{C}_2 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{{ }^{25} \mathrm{C}_2}{{ }^{52} \mathrm{C}_2}=\frac{26 \times 2 \mathrm{5}}{52 \times 51}=\frac{25}{102}
\end{aligned}
$
Let $B$ be the event that both cards are queens.
There are 4 queens in a pack of 52 cards $\therefore 2$ queen cards can be drawn in ${ }^4 \mathrm{C}_2$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{B})={ }^4 \mathrm{C}_2 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{{ }^4 \mathrm{C}_2}{{ }^{52} \mathrm{C}_2}=\frac{4 \times 3}{52 \times 51}=\frac{1}{221}
\end{aligned}
$
There are two black queen cards.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A} \cap \mathrm{B})={ }^2 \mathrm{C}_2=1 \\
& \therefore \quad \mathrm{P}(\mathrm{A} \cap \mathrm{B})=\frac{\mathrm{n}(\mathrm{A} \cap \mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{1}{{ }^5 \mathrm{C}_2}=\frac{1 \times 2 \times 1}{52 \times 51} \\
& =\frac{1}{1326} \\
& \therefore \quad \text { Required probability }=\mathrm{P}(\mathrm{A} \cup \mathrm{B}) \\
& \mathrm{P}(\mathrm{A} \cup \mathrm{B})=\mathrm{P}(\mathrm{A})+\mathrm{P}(\mathrm{B})-\mathrm{P}(\mathrm{A} \cap \mathrm{B}) \\
& =\frac{25}{102}+\frac{1}{221}-\frac{1}{1326} \\
& =\frac{325+6-1}{1326}=\frac{330}{1326} \\
& =\frac{55}{221} \\
&
\end{aligned}
$
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Question 163 Marks
Two cards are drawn from a pack of 52 cards. What is the probability that, both the cards are of the same colour?
Answer
Two cards can be drawn from 52 cards in ${ }^{52} \mathrm{C}_2$ ways.
$
\therefore \mathrm{n}(\mathrm{S})={ }^{52} \mathrm{C}_2
$
Also, the pack of 52 cards consists of 26 red and 26 black cards. Let $\mathrm{A}$ be the event that both cards are red.
$\therefore 2$ red cards can be drawn in ${ }^{26} \mathrm{C}_2$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A})={ }^{26} \mathrm{C}_2 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{{ }^{20} \mathrm{C}_2}{{ }^{52} \mathrm{C}_2}=\frac{26 \times 2 \mathrm{~J}}{52 \times 51}=\frac{2 \mathrm{~J}}{102}
\end{aligned}
$
Let $B$ be the event that both cards are black.
$\therefore 2$ black cards can be drawn in ${ }^{26} \mathrm{C}_2$ ways
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{B})={ }^{26} \mathrm{C}_2 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{{ }^{20} \mathrm{C}_2}{{ }^{52} \mathrm{C}_2}=\frac{26 \times 25}{52 \times 51}=\frac{25}{102}
\end{aligned}
$
Since $A$ and $B$ are mutually exclusive and exhaustive events
$
\begin{aligned}
& \therefore P(A \cap B)=0 \\
& \therefore \text { Required probability }=P(A \cup B) \\
& \therefore P(A \cup B)=P(A)+P(B) \\
& =\frac{25}{102}+\frac{25}{102} \\
& =\frac{25}{51}
\end{aligned}
$
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Question 173 Marks
A card is drawn from a pack of 52 cards. What is the probability that, card is either red or face card?
Answer
One card can be drawn from the pack of 52 cards in ${ }^{52} \mathrm{C}_1=52$ ways $\therefore \mathrm{n}(\mathrm{S})=52$
Also, the pack of 52 cards consists of 26 red and 26 black cards. Let $\mathrm{A}$ be the event that a red card is drawn
$\therefore$ red card can be drawn in ${ }^{26} \mathrm{C}_1=26$ ways
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{A})=26 \\
& \therefore \mathrm{P}(\mathrm{A})=\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})}=\frac{26}{52}
\end{aligned}
$
Let $B$ be the event that a face card is drawn There are 12 face cards in the pack of 52 cards $\therefore 1$ face card can be drawn in ${ }^{12} C_1=12$ ways
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{B})=12 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{12}{52}
\end{aligned}
$
There are 6 red face cards.
$
\begin{aligned}
& \therefore n(A \cap B)=6 \\
& \therefore P(A \cap B)=\frac{n(A \cap B)}{n(S)}=\frac{6}{52} \\
& \therefore \text { Required probability }=P(A \cup B) \\
& P(A \cup B)=P(A)+P(B)-P(A \cap B) \\
& =\frac{26}{52}+\frac{12}{52}-\frac{6}{52} \\
& =\frac{32}{52} \\
& =\frac{8}{13}
\end{aligned}
$
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Question 183 Marks
A card is drawn from a pack of 52 cards. What is the probability that, card is either red or black?
Answer
One card can be drawn from the pack of 52 cards in ${ }^{52} \mathrm{C}_1=52$ ways $\therefore \mathrm{n}(\mathrm{S})=52$
Also, the pack of 52 cards consists of 26 red and 26 black cards. Let $\mathrm{A}$ be the event that a red card is drawn Red card can be drawn in ${ }^{26} \mathrm{C}_1=26$ ways
$\therefore \mathrm{n}(\mathrm{A})=26$
$\therefore \mathrm{P}(\mathrm{A})=\frac{26}{52}$
Let $B$ be the event that a black card is drawn
$\therefore$ Black card can be drawn in ${ }^{26} \mathrm{C}_1=26$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}(\mathrm{B})=26 \\
& \therefore \mathrm{P}(\mathrm{B})=\frac{\mathrm{n}(\mathrm{B})}{\mathrm{n}(\mathrm{S})}=\frac{26}{52}
\end{aligned}
$
Since $A$ and $B$ are mutually exclusive and exhaustive events
$
\begin{aligned}
& \therefore P(A \cap B)=0 \\
& \therefore \text { required probability }=P(A \cup B) \\
& \therefore P(A \cup B)=P(A)+P(B) \\
& =\frac{26}{52}+\frac{26}{52} \\
& =\frac{52}{52} \\
& =1
\end{aligned}
$
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Question 193 Marks
The letters of the word SAVITA are arranged at random. Find the probability that vowels are always together.
Answer
The word SAVITA contains 6 letters. Out of 6 letters, 3 are vowels (A, A, I) and 3 are consonants (S, V, T).
6 letters in which A repeats twice can be arranged among themselves in $\frac{\theta}{2}$ ways.
$
\therefore \mathrm{n}(\mathrm{S})=\frac{\mathrm{Q}}{2 !}
$
Let $A$ be the event that vowels are always together.
3 vowels (A. A, I) can be arranged among themselves in $\frac{3 !}{2 !}$ ways.
Considering 3 vowels as one group, 3 consonants and this group (i.e. altogether 4 ) can be arranged in ${ }^4 P_4=4$ ! ways.
$
\begin{aligned}
\therefore \quad \mathrm{n}(\mathrm{A}) & =4 ! \times \frac{3 !}{2 !} \\
\therefore \quad \mathrm{P}(\mathrm{A}) & =\frac{\mathrm{n}(\mathrm{A})}{\mathrm{n}(\mathrm{S})} \\
& =\frac{4 ! \times \frac{3 !}{2 !}}{\frac{6 !}{2 !}}-\frac{4 ! 3 !}{6 !}=\frac{1}{5}
\end{aligned}
$
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Question 203 Marks
A room has three sockets for lamps. From a collection of 10 light bulbs of which 6 are defective, a person selects 3 bulbs at random and puts them in a socket. What is the probability that the room is lit?
Answer
Total number of bulbs $=10$
Number of defective bulbs $=6$
$\therefore$ Number of non-defective bulbs $=4$
3 bulbs can be selected out of 10 light bulbs in ${ }^{10} \mathrm{C}_3$ ways.
$
\therefore \mathrm{n}(\mathrm{S})={ }^{10} \mathrm{C}_3
$
Let $\mathrm{A}$ be the event that room is lit.
$\therefore \mathrm{A}^{\prime}$ is the event that the room is not lit.
For $A^{\prime}$ the bulbs should be selected from the 6 defective bulbs.
This can be done in ${ }^6 \mathrm{C}_3$ ways.
$
\begin{aligned}
& \therefore \mathrm{n}\left(\mathrm{A}^{\prime}\right)={ }^6 \mathrm{C}_3 \\
& \therefore \mathrm{P}\left(\mathrm{A}^{\prime}\right)=\frac{\mathrm{n}\left(\mathrm{A}^{\prime}\right)}{\mathrm{n}(\mathrm{S})}=\frac{{ }^6 \mathrm{C}_3}{{ }^{10} \mathrm{C}_3} \\
& \therefore \mathrm{P}(\text { Room is lit })=1-\mathrm{P} \text { (Room is not lit) } \\
& \begin{aligned}
\therefore \quad \mathrm{P}(\mathrm{A}) & =1-\mathrm{P}\left(\mathrm{A}^{\prime}\right) \\
& =1-\frac{{ }^6 \mathrm{C}_3}{{ }^{10} \mathrm{C}_3} \\
& =1-\frac{6 \times 5 \times 4}{10 \times 9 \times 8} \\
& =1-\frac{1}{6}=\frac{5}{6}
\end{aligned}
\end{aligned}
$
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Question 213 Marks
Two dice are thrown. Write favourable outcomes for the following events.
(i) $\mathrm{P}$ : The sum of the numbers on two dice is divisible by 3 or 4 .
(ii) Q: sum of the numbers on two dice is 7 .
(iii) $\mathrm{R}$ : sum of the numbers on two dice is a prime number.
Also, check whether
(a) events $P$ and $Q$ are mutually exclusive and exhaustive.
(b) events $Q$ and $R$ are mutually exclusive and exhaustive.
Answer
When two dice are thrown, all possible outcomes are
$
S=\{(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),(3,1),(3,2),(3,
$
$3),(3,4),(3,5),(3,6),(4,1),(4,2),(4,3),(4,4),(4,5),(4,6),(5,1),(5,2),(5,3),(5,4),(5,5),(5,6)$,
$(6,1),(6,2),(6,3),(6,4),(6,5),(6,6)\}$
(i) P: sum of the numbers on two dice is divisible by 3 or 4 .
$
\therefore P=\{(1,2),(1,3),(1,5),(2,1),(2,2),(2,4),(2,6),(3,1),(3,3),(3,5),(3,6),(4,2),(4,4),(4,5) \text {, }
$
$(5,1),(5,3),(5,4),(6,2),(6,3),(6,6)\}$
(ii) Q: sum of the numbers on two dice is 7 .
$
\therefore Q=\{(1,6),(2,5),(3,4),(4,3),(5,2),(6,1)\}
$
(iii) $\mathrm{R}$ : sum of the numbers on two dice is a prime number.
$
\therefore \mathrm{R}=\{(1,1),(1,2),(1,4),(1,6),(2,1),(2,3),(2,5),(3,2),(3,4),(4,1),(4,3),(5,2),(5,6),(6,1) \text {, }
$
$(6,5)\}$
(a) $P$ and $Q$ are mutually exclusive events as $P \cap Q=\varphi$ and
$
P \cup Q=\{(1,2),(1,3),(1,5),(1,6),(2,1),(2,2),(2,4),(2,5),(2,6),(3,1),(3,3),(3,4),(3,5),(3,6) \text {, }
$
$(4,2),(4,3),(4,4),(4,5),(5,1),(5,2),(5,3),(5,4),(6,1),(6,2),(6,3),(6,6)\} \neq S$
$\therefore \mathrm{P}$ and $\mathrm{Q}$ are not exhaustive events as $\mathrm{P} \cup \mathrm{Q} \neq \mathrm{S}$.
(b) $Q \cap R=\{(1,6),(2,5),(3,4),(4,3),(5,2),(6,1)\}$
$\therefore \mathrm{Q} \cap \mathrm{R} \neq \varphi$
Also, $Q \cup R=\{(1,1),(1,2),(1,4),(1,6),(2,1),(2,3),(2,5),(3,2),(3,4),(4,1),(4,3),(5,2),(5,6)$, $(6,1),(6,5)\} \neq S$
$\therefore \mathrm{Q}$ and $\mathrm{R}$ are neither mutually exclusive nor exhaustive events.
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