Question

$$10$$ apples are distributed at random among $$6$$ persons. The probability that at least one of them will receive none is :

A. $$\frac{6}{{143}}$$
B. $$\frac{{{}^{14}{C_4}}}{{{}^{15}{C_5}}}$$
C. $$\frac{{137}}{{143}}$$  
D. none of these
Answer :   $$\frac{{137}}{{143}}$$
Solution :
The required probability $$ = 1 - $$   probability of each receiving at least one
$$ = 1 - \frac{{n\left( E \right)}}{{n\left( S \right)}}.$$
Now, the number of integral solutions of $${x_1} + {x_2} + {x_3} + {x_4} + {x_5} + {x_6} = 10$$        such that $${x_1} \geqslant 1,\,{x_2} \geqslant 1,\,......,\,{x_6} \geqslant 1$$       gives $$n\left( E \right)$$  and the number of integral solutions of $${x_1} + {x_2} + ...... + {x_5} + {x_6} = 10$$       such that $${x_1} \geqslant 0,\,{x_2} \geqslant 0,\,......,\,{x_6} \geqslant 0$$       gives $$n\left( S \right).$$
$$\therefore $$  the required probability $$ = 1 - \frac{{{}^{10 - 1}{C_{6 - 1}}}}{{{}^{10 + 6 - 1}{C_{6 - 1}}}} = 1 - \frac{{{}^9{C_5}}}{{{}^{15}{C_5}}} = \frac{{137}}{{143}}.$$

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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