A) \[\frac{1}{26}\]
B) \[\frac{5}{52}\]
C) \[\frac{5}{221}\]
D) \[\frac{4}{13}\]
Correct Answer: C
Solution :
\[P({{E}_{1}})=\frac{4}{52}=\frac{1}{13}\], \[P\left( \frac{{{E}_{2}}}{{{E}_{1}}} \right)=\frac{15}{51}=\frac{5}{17}\] \[P({{E}_{1}}\cap {{E}_{2}})=P({{E}_{1}}).P\,\left( \frac{{{E}_{2}}}{{{E}_{1}}} \right)=\frac{1}{13}.\,\frac{5}{17}=\frac{5}{221}\].You need to login to perform this action.
You will be redirected in
3 sec