Question

Let $$S$$ be the universal set and $$n\left( X \right) = k.$$   The probability of selecting two subsets $$A$$ and $$B$$ of the set $$X$$ such that $$B = \overline A $$  is :

A. $$\frac{1}{2}$$
B. $$\frac{1}{{{2^k} - 1}}$$  
C. $$\frac{1}{{{2^k}}}$$
D. $$\frac{1}{{{3^k}}}$$
Answer :   $$\frac{1}{{{2^k} - 1}}$$
Solution :
The total number of subsets of $$X$$ is $${2^k}.$$ So, $$n\left( S \right) = {}^{{2^k}}{C_2}.$$
$$n\left( E \right) = $$   the number of selections of two nonintersecting subsets whose union is $$X$$
$$\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, = \frac{1}{2}\left( {{}^k{C_0} + {}^k{C_1} + {}^k{C_2} + .....} \right)$$
( $$\because $$  the number of selections in which one subset has $$r$$ elements and the rest are in the other subset $$ = {}^k{C_r}$$  and every selection appears twice in the total number of selections ).
$$\therefore \,P\left( E \right) = \frac{{\left( {\frac{1}{2}} \right){{.2}^k}}}{{{}^{{2^k}}{C_2}}} = \frac{{{2^{k - 1}}}}{{\frac{{{2^k}\left( {{2^k} - 1} \right)}}{2}}} = \frac{1}{{{2^k} - 1}}.$$

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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Probability


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