The chance of one event happeing is the square of the chance of a second event, but the odds against the first are the cube of the odds against the second. The chance of the first event is :
A.
$$\frac{1}{3}$$
B.
$$\frac{1}{9}$$
C.
$$\frac{2}{3}$$
D.
$$\frac{4}{9}$$
Answer :
$$\frac{1}{9}$$
Solution :
Let the two events be $${E_1}$$ and $${E_2}$$
Let their chances be $$p$$ and $$q$$ respectively.
Then $$p = {q^2}......\left( {\text{i}} \right)$$
The chances of not happening of the events are $$1 - p$$ and $$1 - q$$ respectively.
Odds against the first event $$ = \frac{{1 - p}}{p}$$
Odds against the second event $$ = \frac{{1 - q}}{q}$$
$$\eqalign{
& {\text{Given,}} \cr
& \frac{{1 - p}}{p} = {\left( {\frac{{1 - q}}{q}} \right)^3} \cr
& \Rightarrow \frac{{1 - {q^2}}}{{{q^2}}} = \frac{{{{\left( {1 - q} \right)}^3}}}{{{q^3}}} \cr
& \left[ {{\text{From eqution }}\left( {\text{i}} \right)} \right] \cr
& \Rightarrow \left( {\frac{{1 - q}}{{{q^2}}}} \right)\left[ {\left( {1 + q} \right) - \frac{{{{\left( {1 - q} \right)}^2}}}{q}} \right] = 0 \cr
& \because \,q \ne 1{\text{ and }}q \ne 0 \cr
& \therefore \,q\left( {1 + q} \right) = 1 - 2q + {q^2} \Rightarrow q = \frac{1}{3} \cr
& \therefore {\text{ from equation }}\left( {\text{i}} \right)\,p = {q^2} = \frac{1}{9} \cr
& \therefore \,p\left( {{E_1}} \right) = p = \frac{1}{9} \cr} $$
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.
$$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$