EXAMPLES
Statistics • 10 Questions
Question 1
Hint available
Find the probability of getting a head when a coin is tossed once. Also find the probability of getting a tail.
Key Idea
Use the definition of probability for an equally likely experiment: \(P(E)=\dfrac{\text{Number of favourable outcomes}}{\text{Total number of possible outcomes}}\). For a single toss of a fair coin, the sample space consists of two equally likely outcomes – Head (H) and Tail (T).
Step-by-Step Solution
1. Identify the sample space\\
The possible outcomes when a coin is tossed once are: \(S = \{H, T\}\).
2. Count the total number of outcomes\\
\(n(S) = 2\).
3. Probability of getting a head\\
- Favourable outcome for event "Head" is \{H\}.
- Number of favourable outcomes \(n(H) = 1\).
- Using the definition, \[P(\text{Head}) = \frac{n(H)}{n(S)} = \frac{1}{2} = 0.5.\]
4. Probability of getting a tail\\
- Favourable outcome for event "Tail" is \{T\}.
- Number of favourable outcomes \(n(T) = 1\).
- Using the definition, \[P(\text{Tail}) = \frac{n(T)}{n(S)} = \frac{1}{2} = 0.5.\]
5. Conclusion\\
Since the coin is fair, both events are equally likely and each has probability \(\frac{1}{2}\).
The possible outcomes when a coin is tossed once are: \(S = \{H, T\}\).
2. Count the total number of outcomes\\
\(n(S) = 2\).
3. Probability of getting a head\\
- Favourable outcome for event "Head" is \{H\}.
- Number of favourable outcomes \(n(H) = 1\).
- Using the definition, \[P(\text{Head}) = \frac{n(H)}{n(S)} = \frac{1}{2} = 0.5.\]
4. Probability of getting a tail\\
- Favourable outcome for event "Tail" is \{T\}.
- Number of favourable outcomes \(n(T) = 1\).
- Using the definition, \[P(\text{Tail}) = \frac{n(T)}{n(S)} = \frac{1}{2} = 0.5.\]
5. Conclusion\\
Since the coin is fair, both events are equally likely and each has probability \(\frac{1}{2}\).
Question 2
Hint available
A bag contains a red ball, a blue ball and a yellow ball, all the balls being of the same size. Kritika takes out a ball from the bag without looking into it. What is the probability that she takes out the (i) yellow ball? (ii) red ball? (iii) blue ball?
Key Idea
When all outcomes are equally likely, the probability of an event = (Number of favourable outcomes) ÷ (Total number of equally likely outcomes).
Step-by-Step Solution
1. List the sample space (all possible outcomes). Since the bag has three balls of the same size, each ball is equally likely to be drawn.
$$S = \{\text{red}, \text{blue}, \text{yellow}\}$$
Hence, total number of equally likely outcomes \(n(S) = 3\).
2. (i) Probability of drawing the yellow ball:
- Favourable outcome = {yellow}, so \(n(\text{yellow}) = 1\).
- $$P(\text{yellow}) = \frac{n(\text{yellow})}{n(S)} = \frac{1}{3}$$
3. (ii) Probability of drawing the red ball:
- Favourable outcome = {red}, so \(n(\text{red}) = 1\).
- $$P(\text{red}) = \frac{n(\text{red})}{n(S)} = \frac{1}{3}$$
4. (iii) Probability of drawing the blue ball:
- Favourable outcome = {blue}, so \(n(\text{blue}) = 1\).
- $$P(\text{blue}) = \frac{n(\text{blue})}{n(S)} = \frac{1}{3}$$
5. Since each ball is equally likely, all three probabilities are equal to \(\frac{1}{3}\).
$$S = \{\text{red}, \text{blue}, \text{yellow}\}$$
Hence, total number of equally likely outcomes \(n(S) = 3\).
2. (i) Probability of drawing the yellow ball:
- Favourable outcome = {yellow}, so \(n(\text{yellow}) = 1\).
- $$P(\text{yellow}) = \frac{n(\text{yellow})}{n(S)} = \frac{1}{3}$$
3. (ii) Probability of drawing the red ball:
- Favourable outcome = {red}, so \(n(\text{red}) = 1\).
- $$P(\text{red}) = \frac{n(\text{red})}{n(S)} = \frac{1}{3}$$
4. (iii) Probability of drawing the blue ball:
- Favourable outcome = {blue}, so \(n(\text{blue}) = 1\).
- $$P(\text{blue}) = \frac{n(\text{blue})}{n(S)} = \frac{1}{3}$$
5. Since each ball is equally likely, all three probabilities are equal to \(\frac{1}{3}\).
Question 3
Hint available
Two players, Sangeeta and Reshma, play a tennis match. It is known that the probability of Sangeeta winning the match is 0.62. What is the probability of Reshma winning the match?
Key Idea
The sum of probabilities of all mutually exclusive and exhaustive outcomes of a single experiment is 1. Hence, the probability of the complementary event is $1 - P(\text{given event})$.
Step-by-Step Solution
1. Let $S$ denote the event that Sangeeta wins the match and $R$ denote the event that Reshma wins the match.
2. Since the match can be won by either Sangeeta or Reshma and there are no other possibilities, the events $S$ and $R$ are mutually exclusive and exhaustive.
3. Therefore, $$P(S) + P(R) = 1.$$
4. Given $P(S) = 0.62$, substitute this value:
$$0.62 + P(R) = 1.$$
5. Solve for $P(R)$:
$$P(R) = 1 - 0.62 = 0.38.$$
6. Hence, the probability that Reshma wins the match is $0.38$.
2. Since the match can be won by either Sangeeta or Reshma and there are no other possibilities, the events $S$ and $R$ are mutually exclusive and exhaustive.
3. Therefore, $$P(S) + P(R) = 1.$$
4. Given $P(S) = 0.62$, substitute this value:
$$0.62 + P(R) = 1.$$
5. Solve for $P(R)$:
$$P(R) = 1 - 0.62 = 0.38.$$
6. Hence, the probability that Reshma wins the match is $0.38$.
Question 4
Hint available
Savita and Hamida are friends. What is the probability that both will have (i) different birthdays? (ii) the same birthday? (ignoring a leap year).
Key Idea
Use the concept of equally likely outcomes and the multiplication principle. For two independent events (birthdays of two persons), the total number of possible ordered pairs of birthdays is $365 \times 365$. Count the favourable outcomes for each case and form the ratio.
Step-by-Step Solution
1. Total possible outcomes\
Since each person can be born on any of the $365$ days (leap year ignored) and the birthdays are independent, the total number of ordered pairs of birthdays is\
$$\text{Total}=365 \times 365 = 133\,225.$$\
\
2. (ii) Probability that they have the same birthday\
- For the birthdays to be the same, once Savita’s birthday is fixed (any of the $365$ days), Hamida must be born on that same day.\
- Hence the number of favourable outcomes = $365$ (one for each possible common day).\
- Probability\
$$P(\text{same birthday}) = \frac{\text{favourable}}{\text{total}} = \frac{365}{133\,225}=\frac{1}{365}.$$\
\
3. (i) Probability that they have different birthdays\
- The complement of the event "same birthday" is "different birthdays".\
- Number of favourable outcomes for different birthdays = total outcomes $-$ same‑birthday outcomes\
$$\text{Favourable}=133\,225 - 365 = 132\,860.$$\
- Probability\
$$P(\text{different birthdays}) = \frac{132\,860}{133\,225}=\frac{364}{365}.$$\
- Alternatively, using conditional probability: after fixing Savita’s birthday, Hamida can be born on any of the remaining $364$ days, so\
$$P(\text{different}) = \frac{364}{365}.$$\
\
4. Result\
$$P(\text{different birthdays}) = \frac{364}{365}, \qquad P(\text{same birthday}) = \frac{1}{365}.$$
Since each person can be born on any of the $365$ days (leap year ignored) and the birthdays are independent, the total number of ordered pairs of birthdays is\
$$\text{Total}=365 \times 365 = 133\,225.$$\
\
2. (ii) Probability that they have the same birthday\
- For the birthdays to be the same, once Savita’s birthday is fixed (any of the $365$ days), Hamida must be born on that same day.\
- Hence the number of favourable outcomes = $365$ (one for each possible common day).\
- Probability\
$$P(\text{same birthday}) = \frac{\text{favourable}}{\text{total}} = \frac{365}{133\,225}=\frac{1}{365}.$$\
\
3. (i) Probability that they have different birthdays\
- The complement of the event "same birthday" is "different birthdays".\
- Number of favourable outcomes for different birthdays = total outcomes $-$ same‑birthday outcomes\
$$\text{Favourable}=133\,225 - 365 = 132\,860.$$\
- Probability\
$$P(\text{different birthdays}) = \frac{132\,860}{133\,225}=\frac{364}{365}.$$\
- Alternatively, using conditional probability: after fixing Savita’s birthday, Hamida can be born on any of the remaining $364$ days, so\
$$P(\text{different}) = \frac{364}{365}.$$\
\
4. Result\
$$P(\text{different birthdays}) = \frac{364}{365}, \qquad P(\text{same birthday}) = \frac{1}{365}.$$
Question 5
Hint available
There are 40 students in Class X of a school of whom 25 are girls and 15 are boys. The class teacher has to select one student as a class representative. She writes the name of each student on a separate card, the cards being identical. Then she puts cards in a bag and stirs them thoroughly. She then draws one card from the bag. What is the probability that the name written on the card is the name of (i) a girl? (ii) a boy?
Key Idea
Probability of an event = (Number of favourable outcomes) ÷ (Total number of equally likely outcomes). Here each card is equally likely to be drawn.
Step-by-Step Solution
1. Identify total number of outcomes:\
The teacher has written the names of all 40 students on separate cards. Hence the total number of equally likely outcomes is \( n(S) = 40 \).
2. (i) Probability of drawing a girl:\
- Number of favourable outcomes (girls) = \( n(G) = 25 \).
- Using the definition of probability,\
$$ P(\text{girl}) = \frac{n(G)}{n(S)} = \frac{25}{40} = \frac{5}{8}. $$
3. (ii) Probability of drawing a boy:\
- Number of favourable outcomes (boys) = \( n(B) = 15 \).
- Hence,\
$$ P(\text{boy}) = \frac{n(B)}{n(S)} = \frac{15}{40} = \frac{3}{8}. $$
4. Check: Since the events "girl" and "boy" are complementary,\
$$ P(\text{girl}) + P(\text{boy}) = \frac{5}{8} + \frac{3}{8} = 1, $$
confirming the calculations are correct.
The teacher has written the names of all 40 students on separate cards. Hence the total number of equally likely outcomes is \( n(S) = 40 \).
2. (i) Probability of drawing a girl:\
- Number of favourable outcomes (girls) = \( n(G) = 25 \).
- Using the definition of probability,\
$$ P(\text{girl}) = \frac{n(G)}{n(S)} = \frac{25}{40} = \frac{5}{8}. $$
3. (ii) Probability of drawing a boy:\
- Number of favourable outcomes (boys) = \( n(B) = 15 \).
- Hence,\
$$ P(\text{boy}) = \frac{n(B)}{n(S)} = \frac{15}{40} = \frac{3}{8}. $$
4. Check: Since the events "girl" and "boy" are complementary,\
$$ P(\text{girl}) + P(\text{boy}) = \frac{5}{8} + \frac{3}{8} = 1, $$
confirming the calculations are correct.
Question 6
Hint available
A box contains 3 blue, 2 white, and 4 red marbles. If a marble is drawn at random from the box, what is the probability that it will be (i) white? (ii) blue? (iii) red?
Key Idea
Probability of an event = (Number of favourable outcomes) / (Total number of equally likely outcomes). Here each marble is equally likely to be drawn.
Step-by-Step Solution
1. Total number of marbles
\[\text{Total}=3\text{ (blue)}+2\text{ (white)}+4\text{ (red)}=9\]
2. Probability of drawing a white marble
- Favourable outcomes = 2 (white marbles)
- \[P(\text{white})=\frac{2}{9}\]
3. Probability of drawing a blue marble
- Favourable outcomes = 3 (blue marbles)
- \[P(\text{blue})=\frac{3}{9}=\frac{1}{3}\]
4. Probability of drawing a red marble
- Favourable outcomes = 4 (red marbles)
- \[P(\text{red})=\frac{4}{9}\]
5. Check
- Sum of probabilities = \(\frac{2}{9}+\frac{3}{9}+\frac{4}{9}=\frac{9}{9}=1\), confirming the calculations are correct.
\[\text{Total}=3\text{ (blue)}+2\text{ (white)}+4\text{ (red)}=9\]
2. Probability of drawing a white marble
- Favourable outcomes = 2 (white marbles)
- \[P(\text{white})=\frac{2}{9}\]
3. Probability of drawing a blue marble
- Favourable outcomes = 3 (blue marbles)
- \[P(\text{blue})=\frac{3}{9}=\frac{1}{3}\]
4. Probability of drawing a red marble
- Favourable outcomes = 4 (red marbles)
- \[P(\text{red})=\frac{4}{9}\]
5. Check
- Sum of probabilities = \(\frac{2}{9}+\frac{3}{9}+\frac{4}{9}=\frac{9}{9}=1\), confirming the calculations are correct.
Question 7
Hint available
Harpreet tosses two different coins simultaneously (say, one is of ` 1 and other of ` 2). What is the probability that she gets at least one head?
Key Idea
Use the classical definition of probability: when all outcomes are equally likely, \(P(E)=\dfrac{\text{number of favourable outcomes}}{\text{total number of outcomes}}\). For two independent coin tosses, list all possible ordered outcomes.
Step-by-Step Solution
1. Identify the sample space (S).
Since the two coins are different, each toss can give a head (H) or a tail (T). The ordered pairs are:
$$S = \{(H_1,H_2),\;(H_1,T_2),\;(T_1,H_2),\;(T_1,T_2)\}$$
Hence, \(|S| = 4\).
2. Determine the favourable outcomes.
The event "at least one head" includes all outcomes except the one where both are tails:
$$E = \{(H_1,H_2),\;(H_1,T_2),\;(T_1,H_2)\}$$
So, \(|E| = 3\).
3. Apply the probability formula.
$$P(\text{at least one head}) = \frac{|E|}{|S|} = \frac{3}{4}$$
4. Write the answer in simplest form.
The required probability is \(\boxed{\dfrac{3}{4}}\).
Since the two coins are different, each toss can give a head (H) or a tail (T). The ordered pairs are:
$$S = \{(H_1,H_2),\;(H_1,T_2),\;(T_1,H_2),\;(T_1,T_2)\}$$
Hence, \(|S| = 4\).
2. Determine the favourable outcomes.
The event "at least one head" includes all outcomes except the one where both are tails:
$$E = \{(H_1,H_2),\;(H_1,T_2),\;(T_1,H_2)\}$$
So, \(|E| = 3\).
3. Apply the probability formula.
$$P(\text{at least one head}) = \frac{|E|}{|S|} = \frac{3}{4}$$
4. Write the answer in simplest form.
The required probability is \(\boxed{\dfrac{3}{4}}\).
Question 8
Hint available
* : In a musical chair game, the person playing the music has been advised to stop playing the music at any time within 2 minutes after she starts playing. What is the probability that the music will stop within the first half-minute after starting?
Key Idea
When an event can occur at any instant uniformly over a given interval, the probability of it occurring in a sub‑interval is the ratio of the length of the sub‑interval to the length of the whole interval. This uses the concept of uniform probability distribution on a continuous interval.
Step-by-Step Solution
1. Identify the sample space\\
The music can stop at any time \(t\) such that \(0 \le t \le 2\) minutes. Hence the sample space \(S\) is the interval \([0,2]\) minutes.
2. Assume uniform distribution\\
Since the stopping time is equally likely at any instant within the 2‑minute interval, the probability density is constant. For a uniform distribution on \([0,2]\), the total probability is 1.
3. Determine the favourable interval\\
The event of interest is "music stops within the first half‑minute" i.e. \(0 \le t \le 0.5\) minutes. The length of this favourable interval is \(0.5\) minute.
4. Compute the probability\\
\[
P(\text{stop within first 0.5 min}) = \frac{\text{length of favourable interval}}{\text{length of total interval}} = \frac{0.5}{2} = \frac{1}{4}.
\]
5. Express the answer\\
The required probability is \(\boxed{\frac{1}{4}}\) (or 0.25).
Hence, the probability that the music stops within the first half‑minute is \(\frac{1}{4}\).
The music can stop at any time \(t\) such that \(0 \le t \le 2\) minutes. Hence the sample space \(S\) is the interval \([0,2]\) minutes.
2. Assume uniform distribution\\
Since the stopping time is equally likely at any instant within the 2‑minute interval, the probability density is constant. For a uniform distribution on \([0,2]\), the total probability is 1.
3. Determine the favourable interval\\
The event of interest is "music stops within the first half‑minute" i.e. \(0 \le t \le 0.5\) minutes. The length of this favourable interval is \(0.5\) minute.
4. Compute the probability\\
\[
P(\text{stop within first 0.5 min}) = \frac{\text{length of favourable interval}}{\text{length of total interval}} = \frac{0.5}{2} = \frac{1}{4}.
\]
5. Express the answer\\
The required probability is \(\boxed{\frac{1}{4}}\) (or 0.25).
Hence, the probability that the music stops within the first half‑minute is \(\frac{1}{4}\).
Question 9
Hint available
A carton consists of 100 shirts of which 88 are good, 8 have minor defects and 4 have major defects. Jimmy, a trader, will only accept the shirts which are good, but Sujatha, another trader, will only reject the shirts which have major defects. One shirt is drawn at random from the carton. What is the probability that (i) it is acceptable to Jimmy? (ii) it is acceptable to Sujatha?
Key Idea
Probability of an event = (Number of favourable outcomes) ÷ (Total number of equally likely outcomes). For complementary events, \(P(\text{not A}) = 1 - P(\text{A})\).
Step-by-Step Solution
1. Total number of shirts = 100 (all outcomes are equally likely).
2. For Jimmy: He accepts only the good shirts.
- Number of favourable shirts = 88.
- Probability \(P_{\text{Jimmy}} = \dfrac{88}{100} = \dfrac{22}{25} = 0.88\).
3. For Sujatha: She rejects only the shirts with major defects.
- Shirts that are *acceptable* to Sujatha are those that are not majorly defective, i.e., good shirts + shirts with minor defects.
- Number of favourable shirts = 88 (good) + 8 (minor defects) = 96.
- Probability \(P_{\text{Sujatha}} = \dfrac{96}{100} = \dfrac{24}{25} = 0.96\).
4. Answer:
- (i) \(P(\text{acceptable to Jimmy}) = \dfrac{22}{25}\).
- (ii) \(P(\text{acceptable to Sujatha}) = \dfrac{24}{25}\).
2. For Jimmy: He accepts only the good shirts.
- Number of favourable shirts = 88.
- Probability \(P_{\text{Jimmy}} = \dfrac{88}{100} = \dfrac{22}{25} = 0.88\).
3. For Sujatha: She rejects only the shirts with major defects.
- Shirts that are *acceptable* to Sujatha are those that are not majorly defective, i.e., good shirts + shirts with minor defects.
- Number of favourable shirts = 88 (good) + 8 (minor defects) = 96.
- Probability \(P_{\text{Sujatha}} = \dfrac{96}{100} = \dfrac{24}{25} = 0.96\).
4. Answer:
- (i) \(P(\text{acceptable to Jimmy}) = \dfrac{22}{25}\).
- (ii) \(P(\text{acceptable to Sujatha}) = \dfrac{24}{25}\).
Question 10
Hint available
Two dice, one blue and one grey, are thrown at the same time. Write down all the possible outcomes. What is the probability that the sum of the two numbers appearing on the top of the dice is (i) 8? (ii) 13? (iii) less than or equal to 12?
Key Idea
When two dice are thrown, each die can show any number from 1 to 6 independently. Hence the sample space consists of 6 × 6 = 36 equally likely ordered pairs (blue die result, grey die result). Probability of an event = (number of favourable outcomes) / (total number of outcomes).
Step-by-Step Solution
1. List of all possible outcomes
The ordered pair \((b,g)\) denotes the number on the blue die \(b\) and the number on the grey die \(g\).
$$\{(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),\
(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),\
(3,1),(3,2),(3,3),(3,4),(3,5),(3,6),\
(4,1),(4,2),(4,3),(4,4),(4,5),(4,6),\
(5,1),(5,2),(5,3),(5,4),(5,5),(5,6),\
(6,1),(6,2),(6,3),(6,4),(6,5),(6,6)\}$$
Total outcomes \(N = 36\).
2. Probability that the sum is 8
Find all pairs with \(b+g = 8\):
$$\{(2,6),(3,5),(4,4),(5,3),(6,2)\}$$
Number of favourable outcomes \(F = 5\).
$$P(\text{sum}=8) = \frac{F}{N} = \frac{5}{36}$$
3. Probability that the sum is 13
The maximum possible sum with two dice is \(6+6 = 12\). Hence no outcome gives a sum of 13.
$$F = 0 \quad\Rightarrow\quad P(\text{sum}=13) = \frac{0}{36} = 0$$
4. Probability that the sum is \(\le 12\)
Every possible outcome has a sum between 2 and 12 inclusive. Therefore all 36 outcomes satisfy the condition.
$$F = 36 \quad\Rightarrow\quad P(\text{sum}\le 12) = \frac{36}{36} = 1$$
The ordered pair \((b,g)\) denotes the number on the blue die \(b\) and the number on the grey die \(g\).
$$\{(1,1),(1,2),(1,3),(1,4),(1,5),(1,6),\
(2,1),(2,2),(2,3),(2,4),(2,5),(2,6),\
(3,1),(3,2),(3,3),(3,4),(3,5),(3,6),\
(4,1),(4,2),(4,3),(4,4),(4,5),(4,6),\
(5,1),(5,2),(5,3),(5,4),(5,5),(5,6),\
(6,1),(6,2),(6,3),(6,4),(6,5),(6,6)\}$$
Total outcomes \(N = 36\).
2. Probability that the sum is 8
Find all pairs with \(b+g = 8\):
$$\{(2,6),(3,5),(4,4),(5,3),(6,2)\}$$
Number of favourable outcomes \(F = 5\).
$$P(\text{sum}=8) = \frac{F}{N} = \frac{5}{36}$$
3. Probability that the sum is 13
The maximum possible sum with two dice is \(6+6 = 12\). Hence no outcome gives a sum of 13.
$$F = 0 \quad\Rightarrow\quad P(\text{sum}=13) = \frac{0}{36} = 0$$
4. Probability that the sum is \(\le 12\)
Every possible outcome has a sum between 2 and 12 inclusive. Therefore all 36 outcomes satisfy the condition.
$$F = 36 \quad\Rightarrow\quad P(\text{sum}\le 12) = \frac{36}{36} = 1$$