MCQMediumJEE 2023Probability Basics

JEE Mathematics 2023 Question with Solution

A bag contains 66 white and 44 black balls. A die is rolled once and the number of balls equal to the number obtained on the die are drawn from the bag at random. The probability that all the balls drawn are white is

  • A

    15\dfrac{1}{5}

  • B

    1150\dfrac{11}{50}

  • C

    950\dfrac{9}{50}

  • D

    14\dfrac{1}{4}

Answer

Correct answer:A

Step-by-step solution

Standard Method

Given: A bag contains 66 white and 44 black balls, so total balls are 1010. A fair die is rolled once.

Find: The probability that all the balls drawn are white.

Condition on the die outcome. If the die shows kk, then kk balls are drawn without replacement.

The conditional probability that all kk balls are white is

P(all whitek)=(6k)(10k),k6P(\text{all white}\mid k)=\frac{\binom{6}{k}}{\binom{10}{k}}, \quad k\le 6

Now evaluate for each possible die outcome:

k=1: (61)(101)=610=35k=2: (62)(102)=1545=13k=3: (63)(103)=20120=16k=4: (64)(104)=15210=114k=5: (65)(105)=6252=142k=6: (66)(106)=1210\begin{aligned} k=1:&\ \frac{\binom{6}{1}}{\binom{10}{1}}=\frac{6}{10}=\frac{3}{5} \\ k=2:&\ \frac{\binom{6}{2}}{\binom{10}{2}}=\frac{15}{45}=\frac{1}{3} \\ k=3:&\ \frac{\binom{6}{3}}{\binom{10}{3}}=\frac{20}{120}=\frac{1}{6} \\ k=4:&\ \frac{\binom{6}{4}}{\binom{10}{4}}=\frac{15}{210}=\frac{1}{14} \\ k=5:&\ \frac{\binom{6}{5}}{\binom{10}{5}}=\frac{6}{252}=\frac{1}{42} \\ k=6:&\ \frac{\binom{6}{6}}{\binom{10}{6}}=\frac{1}{210} \end{aligned}

Using the law of total probability,

P=k=1616P(all whitek)P=\sum_{k=1}^{6}\frac{1}{6}\,P(\text{all white}\mid k)

So,

P=16(35+13+16+114+142+1210)P=\frac{1}{6}\left(\frac{3}{5}+\frac{1}{3}+\frac{1}{6}+\frac{1}{14}+\frac{1}{42}+\frac{1}{210}\right)

From the given working,

35+13+16+114+142+1210=65\frac{3}{5}+\frac{1}{3}+\frac{1}{6}+\frac{1}{14}+\frac{1}{42}+\frac{1}{210}=\frac{6}{5}

Therefore,

P=1665=15P=\frac{1}{6}\cdot\frac{6}{5}=\frac{1}{5}

Thus, the required probability is 15\frac{1}{5} and the correct option is A.

Condition on the Die Outcome

Given: The number of balls drawn depends on the die outcome.

Find: The probability that every drawn ball is white.

The quickest approach is to split the experiment into 66 cases according to the die result and average the corresponding probabilities, because each die outcome has probability 16\frac{1}{6}.

For outcome kk, use

(6k)(10k)\frac{\binom{6}{k}}{\binom{10}{k}}

for the probability that all drawn balls are white. Then take the average over k=1,2,3,4,5,6k=1,2,3,4,5,6:

16(35+13+16+114+142+1210)=15\frac{1}{6}\left(\frac{3}{5}+\frac{1}{3}+\frac{1}{6}+\frac{1}{14}+\frac{1}{42}+\frac{1}{210}\right)=\frac{1}{5}

This works because the die first chooses how many balls are drawn, and then the bag experiment occurs under that condition. Therefore, the correct option is A.

Common mistakes

  • Using (610)k\left(\frac{6}{10}\right)^k for the probability of getting kk white balls. This is wrong because the draws are without replacement, so the probabilities change after each draw. Use combinations or sequential dependent probabilities instead.

  • Forgetting to condition on the die outcome. This is wrong because the number of balls drawn is not fixed; it depends on the die result. Use the law of total probability by considering k=1k=1 to 66 separately.

  • Averaging the numerators and denominators directly, or adding the conditional probabilities without multiplying by 16\frac{1}{6}. This is wrong because each conditional case must be weighted by the probability of that die outcome. Multiply each case by 16\frac{1}{6} first.

Practice more Probability Basics questions

Get unlimited AI-adaptive practice, mastery tracking, and an AI tutor that explains every step — free to start.

Related questions