A draws two cards at random from a pack of $$52$$ cards. After returning
them to the pack and shuffling it, $$B$$ draws two cards at random. The probability that their draws contain exactly one common card is :
A.
$$\frac{{25}}{{546}}$$
B.
$$\frac{{50}}{{663}}$$
C.
$$\frac{{25}}{{663}}$$
D.
none of these
Answer :
$$\frac{{50}}{{663}}$$
Solution :
The probability of both drawing the common card $$x$$
$$ = P\left( x \right) = $$ (probability of $$A$$ drawing the card $$x$$ and any other card $$y$$) × (probability of $$B$$ drawing the card $$x$$ and a card other than $$y$$)
$$\therefore \,P\left( x \right) = \frac{{{}^{51}{C_1}}}{{{}^{52}{C_2}}} \times \frac{{{}^{50}{C_1}}}{{{}^{52}{C_2}}}$$ for all $$x,$$ where $$x$$ has $$52$$ values.
$$\therefore $$ the required probability $$ = \sum {P\left( x \right)} = 52 \times \frac{{51 \times 50 \times 4}}{{52 \times 51 \times 52 \times 51}} = \frac{{50}}{{663}}.$$
Releted MCQ Question on Statistics and Probability >> Probability
Releted Question 1
Two fair dice are tossed. Let $$x$$ be the event that the first die shows an even number and $$y$$ be the event that the second die shows an odd number. The two events $$x$$ and $$y$$ are:
Two events $$A$$ and $$B$$ have probabilities 0.25 and 0.50 respectively. The probability that both $$A$$ and $$B$$ occur simultaneously is 0.14. Then the probability that neither $$A$$ nor $$B$$ occurs is
The probability that an event $$A$$ happens in one trial of an experiment is 0.4. Three independent trials of the experiment are performed. The probability that the event $$A$$ happens at least once is
If $$A$$ and $$B$$ are two events such that $$P(A) > 0,$$ and $$P\left( B \right) \ne 1,$$ then $$P\left( {\frac{{\overline A }}{{\overline B }}} \right)$$ is equal to
(Here $$\overline A$$ and $$\overline B$$ are complements of $$A$$ and $$B$$ respectively).
A.
$$1 - P\left( {\frac{A}{B}} \right)$$
B.
$$1 - P\left( {\frac{{\overline A }}{B}} \right)$$
C.
$$\frac{{1 - P\left( {A \cup B} \right)}}{{P\left( {\overline B } \right)}}$$
D.
$$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$