A man firing at a distant target has $$10\% $$ chance of hitting the target in one shot. The number of times he must fire at the target to have about $$50\% $$ chance of hitting the target is :
A.
$$11$$
B.
$$9$$
C.
$$7$$
D.
$$5$$
Answer :
$$7$$
Solution :
The probability of hitting in one shot $$ = \frac{{10}}{{100}} = \frac{1}{{10}}$$
If he fires $$n$$ shots, the probability of hitting at least once
$$\eqalign{
& = 1 - {\left( {1 - \frac{1}{{10}}} \right)^n} = 1 - {\left( {\frac{9}{{10}}} \right)^n} = \frac{1}{2}\,\,\left( {{\text{from the question}}} \right) \cr
& \therefore \,{\left( {\frac{9}{{10}}} \right)^n} = \frac{1}{2} \cr
& \therefore \,n\left\{ {2{{\log }_{10}}3 - 1} \right\} = - {\log _{10}}2 \cr
& \therefore \,n = \frac{{{{\log }_{10}}2}}{{1 - 2{{\log }_{10}}3}} = \frac{{0.3010}}{{1 - 2 \times 0.4771}} = 6.5\left( {{\text{nearly}}} \right) \cr} $$
$$\therefore $$ for $$6$$ shots, the probability is about $$53\% $$ while for $$7$$ shots it is nearly $$48\% .$$
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.
$$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$