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A single which can can be green or red w...

A single which can can be green or red with probability `4/5 and 1/5` respectively, is received by station A and then transmitted to station B. The probability of each station reciving the signal correctly is `3/4.` If the singal received at station B is green, then the probability that original singal was green is

A

`3/5`

B

`6/7`

C

`20/23`

D

`9/20`

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The correct Answer is:
To solve the problem, we need to find the probability that the original signal was green given that the signal received at station B is green. We can use Bayes' theorem for this purpose. ### Step-by-Step Solution: 1. **Define Events**: - Let \( G \) be the event that the original signal is green. - Let \( R \) be the event that the original signal is red. - Let \( E \) be the event that the signal received at station B is green. 2. **Given Probabilities**: - \( P(G) = \frac{4}{5} \) - \( P(R) = \frac{1}{5} \) - Probability of receiving the signal correctly at each station = \( \frac{3}{4} \) - Probability of receiving the signal incorrectly at each station = \( \frac{1}{4} \) 3. **Calculate \( P(E | G) \)**: - If the original signal is green, the probability that station A receives it correctly and station B receives it correctly is: \[ P(E | G) = P(E | G, E1, E2) = P(E1) \cdot P(E2) = \frac{3}{4} \cdot \frac{3}{4} = \frac{9}{16} \] 4. **Calculate \( P(E | R) \)**: - If the original signal is red, the probability that station A receives it incorrectly (transmits green) and station B receives it correctly is: \[ P(E | R) = P(E1') \cdot P(E2) = \frac{1}{4} \cdot \frac{3}{4} = \frac{3}{16} \] - The probability that station A receives it correctly (transmits red) and station B receives it incorrectly (transmits green) is: \[ P(E | R) = P(E1) \cdot P(E2') = \frac{3}{4} \cdot \frac{1}{4} = \frac{3}{16} \] 5. **Total Probability of \( E \)**: - Using the law of total probability: \[ P(E) = P(E | G) \cdot P(G) + P(E | R) \cdot P(R) \] - Substitute the values: \[ P(E) = \left(\frac{9}{16} \cdot \frac{4}{5}\right) + \left(\frac{3}{16} \cdot \frac{1}{5}\right) = \frac{36}{80} + \frac{3}{80} = \frac{39}{80} \] 6. **Calculate \( P(G | E) \)** using Bayes' theorem: \[ P(G | E) = \frac{P(E | G) \cdot P(G)}{P(E)} \] - Substitute the values: \[ P(G | E) = \frac{\left(\frac{9}{16}\right) \cdot \left(\frac{4}{5}\right)}{\frac{39}{80}} = \frac{\frac{36}{80}}{\frac{39}{80}} = \frac{36}{39} = \frac{12}{13} \] ### Final Answer: The probability that the original signal was green given that the signal received at station B is green is \( \frac{12}{13} \).

To solve the problem, we need to find the probability that the original signal was green given that the signal received at station B is green. We can use Bayes' theorem for this purpose. ### Step-by-Step Solution: 1. **Define Events**: - Let \( G \) be the event that the original signal is green. - Let \( R \) be the event that the original signal is red. - Let \( E \) be the event that the signal received at station B is green. ...
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