The probability of a man hitting a target is $$\frac{1}{4}$$. The number of times he must shoot so that the probability he hits the target, at least once is more than $$0.9,$$ is :
$$\left[ {{\text{use }}\log \,4 = 0.602{\text{ and }}\log \,3 = 0.477} \right]$$
A.
$$7$$
B.
$$8$$
C.
$$6$$
D.
$$5$$
Answer :
$$8$$
Solution :
Let $$n$$ denote the required number of shots and $$X$$ the number of shots that hit the target.
Then $$X \sim B\left( {n,\,p} \right),$$ with $$p = \frac{1}{4}.$$
Now,
$$\eqalign{
& P\left( {X \geqslant 1} \right) \geqslant 0.9 \cr
& \Rightarrow 1 - P\left( {X = 0} \right) \geqslant 0.9 \cr
& \Rightarrow 1 - {}^n{C_0}{\left( {\frac{3}{4}} \right)^n} \geqslant 0.9 \cr
& \Rightarrow {\left( {\frac{3}{4}} \right)^n} \leqslant \frac{1}{{10}} \cr
& \Rightarrow {\left( {\frac{4}{3}} \right)^n} \geqslant 10 \cr
& \Rightarrow n\left( {\log \,4 - \log \,3} \right) \geqslant 1 \cr
& \Rightarrow n\left( {0.602 - 0.477} \right) \geqslant 1 \cr
& \Rightarrow n \geqslant \frac{1}{{0.125}} = 8 \cr} $$
Therefore the least number of trials required is $$8.$$
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.
$$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$