Question

A bag contains $$50$$  tickets numbered $$1,\,2,\,3,\,.....,\,50$$    of which five are drawn at random and arranged in ascending order of magnitude $$\left( {{x_1} < {x_2} < {x_3} < {x_4} < {x_5}} \right).$$      The probability that $${x_3} = 30$$   is :

A. $$\frac{{{}^{20}{C_2}}}{{{}^{50}{C_5}}}$$
B. $$\frac{{{}^2{C_2}}}{{{}^{50}{C_5}}}$$
C. $$\frac{{{}^{20}{C_2} \times {}^{29}{C_2}}}{{{}^{50}{C_5}}}$$  
D. none of these
Answer :   $$\frac{{{}^{20}{C_2} \times {}^{29}{C_2}}}{{{}^{50}{C_5}}}$$
Solution :
Five tickets out of $$50$$  can drawn in $${{}^{50}{C_5}}$$  ways.
Since $${{x_1} < {x_2} < {x_3} < {x_4} < {x_5}}$$     and $${x_3} = 30,\,{x_1},\,{x_2} < 30,$$     i.e., $${x_1}$$ and $${x_2}$$ should come from tickets numbered $$1$$ and $$29$$  and this may happen in $${{}^{29}{C_2}}$$  ways.
Remaining ways, i.e., $${x_4},\,{x_5} > 30,$$   should come from $$20$$ tickets numbered $$31$$  to $$50$$  in $${{}^{20}{C_2}}$$  ways.
So, favourable number of cases $$ = {}^{29}{C_2}{}^{29}{C_2}$$
Hence, required probability $$ = \frac{{{}^{20}{C_2} \times {}^{29}{C_2}}}{{{}^{50}{C_5}}}$$

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:

A. Mutually exclusive
B. Independent and mutually exclusive
C. Dependent
D. None of these
Releted Question 2

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

A. 0.39
B. 0.25
C. 0.11
D. none of these
Releted Question 3

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

A. 0.936
B. 0.784
C. 0.904
D. none of these
Releted Question 4

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. $$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$

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