Question:medium

Let two cards be drawn at random from a pack of 52 playing cards. Let X be the number of aces obtained. Then the value of E(X) is

Show Hint

Linearity of expectation is an incredible mathematical superpower! It holds completely true whether the events are independent or dependent (like drawing without replacement). For drawing $n$ cards, the expected number of aces is always simply $n \times \frac{4}{52}$. For 2 cards, it's $2 \times \frac{1}{13} = \frac{2}{13}$ in a single step!
Updated On: Jun 12, 2026
  • $\frac{5}{13}$
  • $\frac{1}{13}$
  • $\frac{2}{13}$
  • $\frac{37}{221}$
Show Solution

The Correct Option is C

Solution and Explanation

Step 1: Define the random variable clearly.
$X$ counts the aces among the two drawn cards, so $X$ can be $0$, $1$, or $2$. We want $E(X) = \sum x\,P(X=x)$.
Step 2: Find $P(X=0)$.
Choose 2 non-ace cards from 48: $P(X=0) = \dfrac{\binom{48}{2}}{\binom{52}{2}} = \dfrac{1128}{1326}$.
Step 3: Find $P(X=1)$.
One ace from 4 and one non-ace from 48: $P(X=1) = \dfrac{\binom{4}{1}\binom{48}{1}}{\binom{52}{2}} = \dfrac{192}{1326}$.
Step 4: Find $P(X=2)$.
Both aces from 4: $P(X=2) = \dfrac{\binom{4}{2}}{\binom{52}{2}} = \dfrac{6}{1326}$.
Step 5: Plug into the expectation sum.
$E(X) = 0\cdot\dfrac{1128}{1326} + 1\cdot\dfrac{192}{1326} + 2\cdot\dfrac{6}{1326} = \dfrac{192 + 12}{1326} = \dfrac{204}{1326}$.
Step 6: Simplify the fraction.
$\dfrac{204}{1326} = \dfrac{2}{13}$ after dividing top and bottom by $102$.
\[ \boxed{E(X) = \dfrac{2}{13}} \]
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