A coin is tossed $$n$$ times. The probability of getting at least one head is
greater than that of getting at least two tails by $$\frac{5}{{32}}.$$ Then $$n$$ is :
A.
$$5$$
B.
$$10$$
C.
$$15$$
D.
none of these
Answer :
$$5$$
Solution :
The probability of getting at least one head
$$ = 1 - $$ probability of getting no heads
$$\eqalign{
& = 1 - {}^n{C_0}{\left( {\frac{1}{2}} \right)^0}.{\left( {\frac{1}{2}} \right)^n} \cr
& = 1 - \frac{1}{{{2^n}}} \cr} $$
The probability of getting at least two tails
$$ = 1 - $$ probability of getting no tails $$-$$ probability of getting $$1$$ tail
$$\eqalign{
& = 1 - {}^n{C_n}{\left( {\frac{1}{2}} \right)^n}.{\left( {\frac{1}{2}} \right)^0} - {}^n{C_{n - 1}}{\left( {\frac{1}{2}} \right)^{n - 1}}.\frac{1}{2} \cr
& = 1 - \frac{1}{{{2^n}}} - n\frac{1}{{{2^n}}} \cr} $$
From the question,
$$\eqalign{
& \left( {1 - \frac{1}{{{2^n}}}} \right) - \left( {1 - \frac{{1 + n}}{{{2^n}}}} \right) = \frac{5}{{12}} \cr
& {\text{or }}\frac{{n + 1}}{{{2^n}}} - \frac{1}{{{2^n}}} = \frac{5}{{32}} \cr
& {\text{or }}\frac{n}{{{2^n}}} = \frac{5}{{32}}\,\,\,\,\,\,\, \Rightarrow n = 5 \cr} $$
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:
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
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
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.
$$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$