MHT CET · Maths · Probability
Two cards are drawn successively with replacement from well shuffled pack of 52 cards, then the probability distribution of number of queens is
- A \(\begin{array}{|l|c|c|c|}
\hline \mathrm{X}=x & 0 & 1 & 2\mathrm{P}[\mathrm{X}=x] & \frac{144}{169} & \frac{24}{169} & \frac{1}{169} \\ \hline\end{array}\) - B \(\begin{array}{|l|c|c|c|} \hline \mathrm{X}=x & 0 & 1 & 2 \mathrm{P}[\mathrm{X}=x] & \frac{1}{169} & \frac{24}{169} & \frac{144}{169} \\\hline \end{array}\)
- C \(\begin{array}{|l|c|c|c|}
\hline \mathrm{X}=x & 0 & 1 & 2\mathrm{P}[\mathrm{X}=x] & \frac{24}{169} & \frac{1}{169} & \frac{144}{169}\\\hline\end{array}\) - D \(\begin{array}{|l|c|c|c|}
\hline \mathrm{X}=x & 0 & 1 & 2\mathrm{P}[\mathrm{X}=x] & \frac{1}{169} & \frac{25}{169} & \frac{143}{169}\\\hline\end{array}\)
Answer & Solution
Correct Answer
(A) \(\begin{array}{|l|c|c|c|}
\hline \mathrm{X}=x & 0 & 1 & 2\mathrm{P}[\mathrm{X}=x] & \frac{144}{169} & \frac{24}{169} & \frac{1}{169} \\ \hline\end{array}\)
Step-by-step Solution
Detailed explanation
Let \(\mathrm{X}\) denote the number of queens.
\(\therefore\) Possible values of \(\mathrm{X}\) are \(0,1,2\).
\(\mathrm{P}(\text { queen })=\frac{4}{52}=\frac{1}{13} \)
\( \mathrm{P}(\text { not a queen }) =\frac{48}{52}=\frac{12}{13} \)
\( \mathrm{P}(\mathrm{X}=0) =\frac{12}{13} \times \frac{12}{13} \)
\( =\frac{144}{169} \)
\( \mathrm{P}(\mathrm{X}=1) =\left(\frac{1}{13} \times \frac{12}{13}\right)+\left(\frac{12}{13} \times \frac{1}{13}\right) \)
\( =\frac{12}{169}+\frac{12}{169}=\frac{24}{169} \)
\( \mathrm{P}(\mathrm{X}=2) =\frac{1}{13} \times \frac{1}{13} \)
\( =\frac{1}{169}\)
\(\begin{array}{|c|c|c|c|}
\hline \mathrm{X}=x & 0 & 1 & 2 \\
\hline \mathrm{P}[\mathrm{X}=x] & \frac{144}{169} & \frac{24}{169} & \frac{1}{169} \\
\hline
\end{array}\)
The probability distribution of \(\mathrm{X}\) is
\(\therefore\) Possible values of \(\mathrm{X}\) are \(0,1,2\).
\(\mathrm{P}(\text { queen })=\frac{4}{52}=\frac{1}{13} \)
\( \mathrm{P}(\text { not a queen }) =\frac{48}{52}=\frac{12}{13} \)
\( \mathrm{P}(\mathrm{X}=0) =\frac{12}{13} \times \frac{12}{13} \)
\( =\frac{144}{169} \)
\( \mathrm{P}(\mathrm{X}=1) =\left(\frac{1}{13} \times \frac{12}{13}\right)+\left(\frac{12}{13} \times \frac{1}{13}\right) \)
\( =\frac{12}{169}+\frac{12}{169}=\frac{24}{169} \)
\( \mathrm{P}(\mathrm{X}=2) =\frac{1}{13} \times \frac{1}{13} \)
\( =\frac{1}{169}\)
\(\begin{array}{|c|c|c|c|}
\hline \mathrm{X}=x & 0 & 1 & 2 \\
\hline \mathrm{P}[\mathrm{X}=x] & \frac{144}{169} & \frac{24}{169} & \frac{1}{169} \\
\hline
\end{array}\)
The probability distribution of \(\mathrm{X}\) is
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