Question

Three dice are thrown. The probability of getting a sum which is a perfect square is :

A. $$\frac{2}{5}$$
B. $$\frac{9}{{20}}$$
C. $$\frac{1}{4}$$
D. none of these  
Answer :   none of these
Solution :
$$n\left( S \right) = 6 \times 6 \times 6.$$    Clearly, the sum varies from $$3$$ to $$18,$$  and among these $$4,\,9,\,16$$   are perfect squares.
The number of ways to get the sum $$4$$
$$=$$ the number of integral solutions of $${x_1} + {x_2} + {x_3} = 4$$    where $$1 \leqslant {x_1} \leqslant 6,\,1 \leqslant {x_2} \leqslant 6,\,1 \leqslant {x_3} \leqslant 6$$
$$\eqalign{ & = {\text{coefficient of }}{x^4}{\text{ in }}{\left( {x + {x^2} + ..... + {x^6}} \right)^3} \cr & = {\text{coefficient of }}x{\text{ in }}{\left( {\frac{{1 - {x^6}}}{{1 - x}}} \right)^3} \cr & = {\text{coefficient of }}x{\text{ in }}{\left( {1 - {x^6}} \right)^3}.{\left( {1 - x} \right)^{ - 3}} = {}^3{C_1} \cr} $$
Similarly, the number of ways to get the sum $$9$$
$$\eqalign{ & = {\text{coefficient of }}{x^6}{\text{ in }}{\left( {1 - {x^6}} \right)^3}.{\left( {1 - x} \right)^{ - 3}} \cr & = - 3 \times 1 + {}^8{C_6} \cr & = 28 - 3 \cr & = 25 \cr} $$
The number of ways to get the sum $$16$$
$$\eqalign{ & = {\text{coefficient of }}{x^{13}}{\text{ in }}{\left( {1 - {x^6}} \right)^3}.{\left( {1 - x} \right)^{ - 3}} \cr & = {\text{coefficient of }}{x^{13}}{\text{ in }}\left( {1 - 3{x^6} + 3{x^{12}} - {x^{18}}} \right).\left( {{}^2{C_0} + {}^3{C_1}x + {}^4{C_2}{x^2} + ....} \right) \cr & = {}^{15}{C_{13}} - 3 \times {}^9{C_7} + 3 \times {}^3{C_1} \cr & = 105 - 108 + 9 \cr & = 6 \cr & \therefore \,n\left( E \right) = 3 + 25 + 6 = 34 \cr & {\text{So, }}P\left( E \right) = \frac{{34}}{{6 \times 6 \times 6}} = \frac{{17}}{{108}}. \cr} $$

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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