CBSE 2025 · Region 4 · Set 2 · Q29 · 3 marks
Consider the experiment of tossing a coin. If the coin shows head, toss it again; but if it shows a tail, then throw a die. Find the conditional probability of the event A : 'the die shows a number greater than $\displaystyle 3$ ' given that B : 'there is at least one tail'.The probability distribution of a random variable X is given as : X $\displaystyle 1$ $\displaystyle 2$ $\displaystyle 3$ $\displaystyle 2 \lambda$ $\displaystyle 3 \lambda$ $\displaystyle 4 \lambda$ $\displaystyle \mathrm{P}(\mathrm{X})$ $\displaystyle \frac{11}{30}$ $\displaystyle \frac{1}{15}$ $\displaystyle \frac{1}{10}$ $\displaystyle \frac{3}{10}$ $\displaystyle \frac{1}{15}$ $\displaystyle \frac{1}{10}$
(i)$$ Calculate $\displaystyle \lambda$, if $\displaystyle \mathrm{E}(\mathrm{X})=3 \cdot 2$.
Consider the experiment of tossing a coin. If the coin shows head, toss it again; but if it shows a tail, then throw a die. Find the conditional probability of the event A : 'the die shows a number greater than $\displaystyle 3$ ' given that B : 'there is at least one tail'.
The probability distribution of a random variable X is given as :
| X | $\displaystyle 1$ | $\displaystyle 2$ | $\displaystyle 3$ | $\displaystyle 2 \lambda$ | $\displaystyle 3 \lambda$ | $\displaystyle 4 \lambda$ |
| $\displaystyle \mathrm{P}(\mathrm{X})$ | $\displaystyle \frac{11}{30}$ | $\displaystyle \frac{1}{15}$ | $\displaystyle \frac{1}{10}$ | $\displaystyle \frac{3}{10}$ | $\displaystyle \frac{1}{15}$ | $\displaystyle \frac{1}{10}$ |
(i)
$$ Calculate $\displaystyle \lambda$, if $\displaystyle \mathrm{E}(\mathrm{X})=3 \cdot 2$.
Marking-scheme solution
Let \(\displaystyle A\) :The die shows a number greater than $\displaystyle 3$ and \(\displaystyle B\) :There is at least one tail
\[\begin{aligned}
& \mathrm{P}(B \cap A)=\mathrm{P}(T 4, T 5, T 6)=\frac{3}{12}=\frac{1}{4} \\
& \mathrm{P}(B)=\mathrm{P}(H T, T 1, T 2, T 3, T 4, T 5, T 6)=\frac{1}{4}+\frac{6}{12}=\frac{3}{4} \\
& \mathrm{P}(A \mid B)=\frac{\mathrm{P}(B \cap A)}{\mathrm{P}(B)}=\frac{1 / 4}{3 / 4}=\frac{1}{3}
\end{aligned}
\]
\[\begin{aligned}
& \text { (i) } \mathrm{E}(\mathrm{X})=\sum \mathrm{X} . \mathrm{P}(\mathrm{X}) \\
& \qquad=1\left(\frac{11}{30}\right)+2\left(\frac{1}{15}\right)+3\left(\frac{1}{10}\right)+2 \lambda\left(\frac{3}{10}\right)+3 \lambda\left(\frac{1}{15}\right)+4 \lambda\left(\frac{1}{10}\right) \\
& \text { Given } \sum \mathrm{X} . \mathrm{P}(\mathrm{X})=3.2 \\
& \therefore 24+36 \lambda=96 \\
& \Rightarrow \lambda=2 \\
& \text { (ii) } \mathrm{P}(\mathrm{X}>1)=1-\mathrm{P}(\mathrm{X}=1) \\
& \quad=1-\frac{11}{30}=\frac{19}{30}
\end{aligned}
\]
ProbabilityConditional ProbabilityApplyshort_answermedium
More from Probability
- Assertion: Two coins are tossed simultaneously. The probability of getting two heads, if it is known that at…2023 · asked 3×
- A shop selling electronic items sells smartphones of only three reputed companies A, B and C because chances…2025 · asked 3×
- Smoking increases the risk of lung problems. A study revealed that 170 in 1000 males who smoke develop lung…2026 · asked 3×
- The probability distribution of a random variable X is: where k is some unknown constant. The probability…2024 · asked 3×
- Recent studies suggest that roughly 12 % of the world population is left handed. Depending upon the parents,…2023 · asked 3×
- Two balls are drawn at random from a bag containing 2 red balls and 3 blue balls, without replacement. Let…2022 · asked 3×
- Let X be a random variable which assumes values x 1, x 2, x 3, x 4 such that 2 P(X=x 1)=3 P(X=x 2)=P(X=x 3)=5…2022 · asked 3×
- The probability distribution of a random variable X is given below: (i) Find the value of k. (ii) Find P(1 ≤…2023 · asked 3×
CBSE Class 12 Mathematics past-paper question from the 2025board exam, with the answer as CBSE’s own marking scheme gives it. Where our answers come from.