Home
Class 12
MATHS
Probability that A speaks truth is 4/5...

Probability that A speaks truth is `4/5` . A coin is tossed. A reports that a head appears. The probability that actually there was head is (A) `4/5` (B)`1/2` (C) `1/5` (D) `2/5`

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem, we need to find the probability that there was actually a head when A reports that a head appears. We can use Bayes' theorem to find this probability. ### Step-by-Step Solution: 1. **Identify the Given Information:** - Probability that A speaks the truth (P(T)) = \( \frac{4}{5} \) - Probability that A speaks falsely (P(F)) = \( 1 - P(T) = 1 - \frac{4}{5} = \frac{1}{5} \) - Probability of getting heads when a coin is tossed (P(H)) = \( \frac{1}{2} \) - Probability of getting tails when a coin is tossed (P(Tail)) = \( \frac{1}{2} \) 2. **Define the Required Probability:** - We want to find the probability that there was actually a head given that A reports a head (P(H | Reported H)). 3. **Apply Bayes' Theorem:** - According to Bayes' theorem: \[ P(H | \text{Reported H}) = \frac{P(\text{Reported H} | H) \cdot P(H)}{P(\text{Reported H})} \] 4. **Calculate P(Reported H | H):** - If there is a head, A speaks the truth, so: \[ P(\text{Reported H} | H) = P(T) = \frac{4}{5} \] 5. **Calculate P(Reported H | T):** - If there is a tail, A speaks falsely, so: \[ P(\text{Reported H} | T) = P(F) = \frac{1}{5} \] 6. **Calculate P(Reported H):** - Using the law of total probability: \[ P(\text{Reported H}) = P(\text{Reported H} | H) \cdot P(H) + P(\text{Reported H} | T) \cdot P(T) \] - Substitute the values: \[ P(\text{Reported H}) = \left(\frac{4}{5} \cdot \frac{1}{2}\right) + \left(\frac{1}{5} \cdot \frac{1}{2}\right) \] \[ = \frac{4}{10} + \frac{1}{10} = \frac{5}{10} = \frac{1}{2} \] 7. **Substitute Back into Bayes' Theorem:** - Now we can substitute back into Bayes' theorem: \[ P(H | \text{Reported H}) = \frac{P(\text{Reported H} | H) \cdot P(H)}{P(\text{Reported H})} \] \[ = \frac{\left(\frac{4}{5}\right) \cdot \left(\frac{1}{2}\right)}{\frac{1}{2}} \] \[ = \frac{4}{5} \] 8. **Final Answer:** - Therefore, the probability that there was actually a head when A reports a head is \( \frac{4}{5} \). ### Conclusion: The correct option is (A) \( \frac{4}{5} \).

To solve the problem, we need to find the probability that there was actually a head when A reports that a head appears. We can use Bayes' theorem to find this probability. ### Step-by-Step Solution: 1. **Identify the Given Information:** - Probability that A speaks the truth (P(T)) = \( \frac{4}{5} \) - Probability that A speaks falsely (P(F)) = \( 1 - P(T) = 1 - \frac{4}{5} = \frac{1}{5} \) - Probability of getting heads when a coin is tossed (P(H)) = \( \frac{1}{2} \) ...
Doubtnut Promotions Banner Mobile Dark
|

Topper's Solved these Questions

  • PROBABILITY II

    CENGAGE ENGLISH|Exercise CONCEPT APPCICATION EXERCISE 14.6|5 Videos
  • PROBABILITY II

    CENGAGE ENGLISH|Exercise EXERCISE|68 Videos
  • PROBABILITY II

    CENGAGE ENGLISH|Exercise CONCEPT APPCICATION EXERCISE 14.4|7 Videos
  • PROBABILITY I

    CENGAGE ENGLISH|Exercise JEE Advanced|7 Videos
  • PROGRESSION AND SERIES

    CENGAGE ENGLISH|Exercise ARCHIVES (MATRIX MATCH TYPE )|1 Videos

Similar Questions

Explore conceptually related problems

A speaks the truth 4 out of 5 times. He throws a die and reports that there was a 6, the probability that actually there was a 6 is

A coin is tossed successively three times. The probability of getting exactly one head or 2 heads, is

Knowledge Check

  • A coin is tossed three times. Given that at least one head appears, what is the probability that exactly two heads will appear?

    A
    `3/8`
    B
    `3/7`
    C
    `5/8`
    D
    `3/4`
  • Similar Questions

    Explore conceptually related problems

    A coin is tossed 15 times, then find the probability that exactly 9 consecutive heads appears, is

    A coin is tossed 5 times. What is the probability of getting at least 3 heads.

    A coin is tossed 5 times. What is the probability of getting at least 3 heads.

    A coin is tossed 5 times. What is the probability of getting at least 3 heads.

    In one toss of three coins, at least one head appears. Find the probability of getting three heads.

    A coin is tossed 40 times and head appears 25 times. What is the probability of getting a tail.

    A coin is tossed 7 times. Then the probability that at least 4 consective heads apear is