Question

A coin is tossed $$2n$$  times. The chance that the number of times one gets head is not equal to the number of times one gets tail is :

A. $$\frac{{\left( {2n} \right)!}}{{{{\left( {n!} \right)}^2}}}.{\left( {\frac{1}{2}} \right)^{2n}}$$
B. $$1 - \frac{{\left( {2n} \right)!}}{{{{\left( {n!} \right)}^2}}}$$
C. $$1 - \frac{{\left( {2n} \right)!}}{{{{\left( {n!} \right)}^2}}}.\frac{1}{{{4^n}}}$$  
D. none of these
Answer :   $$1 - \frac{{\left( {2n} \right)!}}{{{{\left( {n!} \right)}^2}}}.\frac{1}{{{4^n}}}$$
Solution :
The required probability
$$ = 1 - $$   probability of equal number of heads and tails
$$\eqalign{ & = 1 - {}^{2n}{C_n}.{\left( {\frac{1}{2}} \right)^n}.{\left( {\frac{1}{2}} \right)^{2n - n}} \cr & = 1 - \frac{{\left( {2n} \right)!}}{{\left( {n!} \right)\left( {n!} \right)}}.{\left( {\frac{1}{4}} \right)^n} \cr} $$

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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Probability


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