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CBSE Sample Paper 2021-22 (Term 2) · Section A · 2 marks

Q5: Number of red balls in two draws from 1 red and 3 white balls

Sample 2021-22 T2Ch 13 · Probability
The question

A bag contains 1 red and 3 white balls. Find the probability distribution of the number of red balls if 2 balls are drawn at random from the bag one-by-one without replacement.

This topic is no longer in the CBSE syllabus (2025-26).

Exam answer

Let X be the random variable defined as the number of red balls. Then X can take the values 0, 1.

Why?

The bag has only one red ball, so two draws give at most one red ball. That is why X=2X = 2 is impossible.

P(X=0)=34×23=612=12P(X = 0) = \frac34 \times \frac23 = \frac{6}{12} = \frac12
Why?

X=0X = 0 means both balls are white. First draw: 3 white balls out of 4. The ball is not put back, so 3 balls remain and 2 of them are white. Multiply:

P(W1W2)=P(W1) P(W2/W1)P(W_1W_2) = P(W_1)\,P(W_2/W_1) 34×23=3×24×3=612=6÷612÷6=12\begin{aligned} \frac34 \times \frac23 &= \frac{3 \times 2}{4 \times 3} = \frac{6}{12} \\ &= \frac{6 \div 6}{12 \div 6} = \frac12 \end{aligned}

One red ball: red then white, or white then red.

P(X=1)=14×33+34×13=612=12\begin{aligned} P(X = 1) &= \frac14 \times \frac33 + \frac34 \times \frac13 \\ &= \frac{6}{12} = \frac12 \end{aligned}
Why?

Red first has probability 14\frac14⁠; then all 3 balls left are white, giving 33\frac33⁠. White first has probability 34\frac34⁠; then 1 of the 3 balls left is red, giving 13\frac13⁠.

The two orders cannot both happen, so their probabilities are added.

14×33=31234×13=312312+312=612=12\begin{aligned} \frac14 \times \frac33 &= \frac{3}{12} \\ \frac34 \times \frac13 &= \frac{3}{12} \\[4pt] \frac{3}{12} + \frac{3}{12} &= \frac{6}{12} = \frac12 \end{aligned}
X01P(X)1212\begin{array}{c|c|c} X & 0 & 1 \\ \hline P(X) & \frac12 & \frac12 \end{array}
Why?

The table lists each value of X with its probability. Check: 12+12=1\frac12 + \frac12 = 1⁠, as the probabilities of a distribution must add to 1.

∴\therefore The probability distribution of X is given by the table above.

Where this comes from

Chapter 13, Probability: Probability distribution of a random variable.

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