A) \[\frac{1}{3}\]
B) \[\frac{1}{9}\]
C) \[\frac{2}{3}\]
D) \[\frac{4}{9}\]
Correct Answer: B
Solution :
[b] Let the two events be \[{{E}_{1}}\] and\[{{E}_{2}}\]. Let their chances be p and q respectively. |
Then \[p={{q}^{2}}\] ? (i) |
The chances of not happening of the events are |
Odds against the first event \[=\frac{1-p}{p}\] |
Odds against the second event \[=\frac{1-q}{q}\] |
Given \[\frac{1-p}{p}={{\left( \frac{1-q}{q} \right)}^{3}}\Rightarrow \frac{1-{{q}^{2}}}{{{q}^{2}}}=\frac{{{(1-q)}^{3}}}{{{q}^{3}}}\] |
[From (i)] |
\[\Rightarrow \left( \frac{1-q}{{{q}^{2}}} \right)\left[ (1+q)-\frac{{{(1-q)}^{2}}}{q} \right]=0\] |
\[\because q\ne 1\] And \[q\ne 0\] |
\[\therefore q(1+q)=1-2q+{{q}^{2}}\Rightarrow q=\frac{1}{3}\] |
\[\therefore \] from (i) \[\therefore p={{q}^{2}}=\frac{1}{9}\] |
\[\therefore p({{E}_{1}})=p=\frac{1}{9}\] |
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