Question

If $${E_1}$$ and $${E_2}$$ are two events such that $$P\left( {{E_1}} \right) = \frac{1}{4},\,P\left( {\frac{{{E_2}}}{{{E_1}}}} \right) = \frac{1}{2}$$      and $$P\left( {\frac{{{E_1}}}{{{E_2}}}} \right) = \frac{1}{4},$$    then choose the incorrect statement.

A. $${E_1}$$ and $${E_2}$$ are independent
B. $${E_1}$$ and $${E_2}$$ are exhaustive  
C. $${E_2}$$ is twice as likely to occur as $${E_1}$$
D. Probabilities of the events $${E_1} \cap {E_2},\,{E_1}$$   and $${E_2}$$ are in G.P.
Answer :   $${E_1}$$ and $${E_2}$$ are exhaustive
Solution :
$$\eqalign{ & P\left( {\frac{{{E_2}}}{{{E_1}}}} \right) = \frac{{P\left( {{E_1} \cap {E_2}} \right)}}{{P\left( {{E_1}} \right)}} \cr & \Rightarrow \frac{1}{2} = \frac{{P\left( {{E_1} \cap {E_2}} \right)}}{{\frac{1}{4}}} \cr & \Rightarrow P\left( {{E_1} \cap {E_2}} \right) = \frac{1}{8} \cr & = P\left( {{E_2}} \right).P\left( {\frac{{{E_1}}}{{{E_2}}}} \right) = P\left( {{E_2}} \right).\frac{1}{4} \cr & \Rightarrow P\left( {{E_2}} \right) = \frac{1}{2} \cr & {\text{Since, }}P\left( {{E_1} \cap {E_2}} \right) = \frac{1}{8} = P\left( {{E_1}} \right).P\left( {{E_2}} \right) \cr & \Rightarrow {\text{events are independent}} \cr & {\text{Also, }}P\left( {{E_1} \cup {E_2}} \right) = \frac{1}{2} + \frac{1}{4} - \frac{1}{8} = \frac{5}{8} \cr & \Rightarrow {E_1}\,\,\& \,\,{E_2}\,{\text{are non exhaustive}}{\text{.}} \cr} $$

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:

A. Mutually exclusive
B. Independent and mutually exclusive
C. Dependent
D. None of these
Releted Question 2

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

A. 0.39
B. 0.25
C. 0.11
D. none of these
Releted Question 3

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

A. 0.936
B. 0.784
C. 0.904
D. none of these
Releted Question 4

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. $$\frac{{P\left( {\overline A } \right)}}{{P\left( {\overline B } \right)}}$$

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Probability


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