This problem involves conditional probability and can be solved using Bayes' Theorem. We need to find the probability that the candidate travelled by bus, given that they reached the examination centre late.
Let:
Given probabilities are:
To use Bayes' Theorem, we first need the overall probability of the candidate reaching late, $P(L)$. We can calculate this using the law of total probability:
$P(L) = P(L|B)P(B) + P(L|S)P(S) + P(L|C)P(C)$
Substitute the given values:
Now, sum these probabilities:
$P(L) = \frac{2}{25} + \frac{1}{15} + \frac{1}{10}$
To add these fractions, find a common denominator, which is 150:
$P(L) = \frac{2 \times 6}{150} + \frac{1 \times 10}{150} + \frac{1 \times 15}{150}$
$P(L) = \frac{12}{150} + \frac{10}{150} + \frac{15}{150} = \frac{12 + 10 + 15}{150} = \frac{37}{150}$
We want to find the probability that the candidate travelled by bus given they reached late, which is $P(B|L)$. Bayes' Theorem states:
$P(B|L) = \frac{P(L|B)P(B)}{P(L)}$
We already calculated the numerator $P(L|B)P(B) = \frac{2}{25}$ and the denominator $P(L) = \frac{37}{150}$.
Substitute these values into Bayes' Theorem:
$P(B|L) = \frac{\frac{2}{25}}{\frac{37}{150}}$
To divide fractions, multiply by the reciprocal of the denominator:
$P(B|L) = \frac{2}{25} \times \frac{150}{37}$
Simplify the expression:
$P(B|L) = \frac{2 \times 150}{25 \times 37} = \frac{300}{925}$
Simplify the fraction by dividing the numerator and denominator by their greatest common divisor, which is 25:
$P(B|L) = \frac{300 \div 25}{925 \div 25} = \frac{12}{37}$
A bag contains 19 unbiased coins and one coin with head on both sides. One coin drawn
at random is tossed and head turns up. If the probability that the drawn coin was unbiased,
is $\frac{m}{n}$, gcd (m, n) = 1, then $n^2 - m^2$ is equal to :
Given three indentical bags each containing 10 balls, whose colours are as follows :
| Red | Blue | Green | |
| Bag I | 3 | 2 | 5 |
| Bag II | 4 | 3 | 3 |
| Bag III | 5 | 1 | 4 |
A person chooses a bag at random and takes out a ball. If the ball is Red, the probability that it is from bag I is $p$ and if the ball is Green, the probability that it is from bag III is $q$, then the value of $\left( \frac{1}{p} + \frac{1}{q} \right)$ is:
| Class | 5-10 | 10-15 | 15-20 | 20-25 | 25-30 | 30-35 |
|---|---|---|---|---|---|---|
| Frequency | 2 | k | 28 | 54 | k+1 | 5 |
A bag contains 19 unbiased coins and one coin with head on both sides. One coin drawn
at random is tossed and head turns up. If the probability that the drawn coin was unbiased,
is $\frac{m}{n}$, gcd (m, n) = 1, then $n^2 - m^2$ is equal to :
Given three indentical bags each containing 10 balls, whose colours are as follows :
| Red | Blue | Green | |
| Bag I | 3 | 2 | 5 |
| Bag II | 4 | 3 | 3 |
| Bag III | 5 | 1 | 4 |
A person chooses a bag at random and takes out a ball. If the ball is Red, the probability that it is from bag I is $p$ and if the ball is Green, the probability that it is from bag III is $q$, then the value of $\left( \frac{1}{p} + \frac{1}{q} \right)$ is:
| Class | 5-10 | 10-15 | 15-20 | 20-25 | 25-30 | 30-35 |
|---|---|---|---|---|---|---|
| Frequency | 2 | k | 28 | 54 | k+1 | 5 |