Question

A signal which can be green or red with probability $$\frac{4}{5}$$ and $$\frac{1}{5}$$ respectively, is received by station $$A$$ and then transmitted to station $$B.$$ The probability of each station receiving the signal correctly is $$\frac{3}{4} .$$ If the signal received at station $$B$$ is green, then the probability that the original signal was green is

A. $$\frac{3}{5}$$
B. $$\frac{6}{7}$$
C. $$\frac{20}{23}$$  
D. $$\frac{9}{20}$$
Answer :   $$\frac{20}{23}$$
Solution :
Let $$G \equiv $$  original signal is green
⇒ $$P(G) = \frac{4}{5}$$
$${E_1}$$ $$ \equiv $$ $$A$$ receives the signal correctly $$P\left( {{E_1}} \right) = \frac{3}{4}$$
$${E_2}$$ $$ \equiv $$ $$B$$ receives the signal correctly $$P\left( {{E_2}} \right) = \frac{3}{4}$$
$$E \equiv $$  Signal received by $$B$$ is green.
Then $$E$$ can happen in the following ways
Original Signal Received at A Received at B
Red $$ \to $$ Red $$ \to $$ Green
Red $$ \to $$ Green $$ \to $$ Green
Green $$ \to $$ Green $$ \to $$ Green
Green $$ \to $$ Red $$ \to $$ Green

$$\eqalign{ & \therefore \,\,P\left( E \right) = \left( {\overline G \cap {E_1} \cap \overline {{E_2}} } \right) + \left( {\overline G \cap {E_1} \cap \overline {{E_2}} } \right) + P\left( {G \cap {E_1} \cap {E_2}} \right) + P\left( {G \cap \overline {{E_1}} \cap \overline {{E_2}} } \right) \cr & = \frac{1}{5} \times \frac{3}{4} \times \frac{1}{4} + \frac{1}{5} \times \frac{3}{4} \times \frac{1}{4} + \frac{4}{5} \times \frac{3}{4} \times \frac{3}{4} + \frac{4}{5} \times \frac{1}{4} \times \frac{1}{4} \cr & = \frac{{3 + 3 + 36 + 4}}{{80}} \cr & = \frac{{46}}{{80}} \cr & = \frac{{23}}{{40}} \cr} $$
$$\eqalign{ & \therefore \,\,P\left( {\frac{G}{E}} \right) = \frac{{P\left( {G \cap E} \right)}}{{P\left( E \right)}} \cr & = \frac{{P\left( {G \cap {E_1} \cap {E_2}} \right) + P\left( {G \cap {{\overline E }_1} \cap {{\overline E }_2}} \right)}}{{P\left( E \right)}} \cr & = \frac{{\frac{4}{5} \times \frac{3}{4} \times \frac{3}{4} + \frac{4}{5} \times \frac{1}{4} \times \frac{1}{4}}}{{\frac{{23}}{{40}}}} \cr & = \frac{{\frac{{40}}{{80}}}}{{\frac{{23}}{{40}}}} \cr & = \frac{{20}}{{23}} \cr} $$

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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