JEE Advance - Mathematics (2025 - Paper 2 Online - No. 11)
A factory has a total of three manufacturing units, $M_1, M_2$, and $M_3$, which produce bulbs independent of each other. The units $M_1, M_2$, and $M_3$ produce bulbs in the proportions of $2: 2: 1$, respectively. It is known that $20 \%$ of the bulbs produced in the factory are defective. It is also known that, of all the bulbs produced by $M_1, 15 \%$ are defective. Suppose that, if a randomly chosen bulb produced in the factory is found to be defective, the probability that it was produced by $M_2$ is $\frac{2}{5}$.
If a bulb is chosen randomly from the bulbs produced by $M_3$, then the probability that it is defective is __________.
Explanation
$H_1$: The bulb is produced by unit $M_1$.
$H_2$: The bulb is produced by unit $M_2$.
$H_3$: The bulb is produced by unit $M_3$.
$E$: The bulb is defective.
The unit production proportions and known probabilities are:
$P(H_1) = \frac{2}{5}$, $P(H_2) = \frac{2}{5}$, $P(H_3) = \frac{1}{5}$
$P(E | H_1) = \frac{15}{100} = \frac{3}{20}$
The total probability of a defective bulb is given by:
$ P(E) = P(E | H_1) \cdot P(H_1) + P(E | H_2) \cdot P(H_2) + P(E | H_3) \cdot P(H_3) $
Given:
$ P(E) = 0.20 = \frac{3}{20} \cdot \frac{2}{5} + P(E | H_2) \cdot \frac{2}{5} + P(E | H_3) \cdot \frac{1}{5} $
This simplifies to:
$ 2P(E | H_2) + P(E | H_3) = \frac{7}{10} \quad \text{...(i)} $
Additionally, the probability that a defective bulb is from $M_2$ is given as:
$ P(H_2 | E) = \frac{2}{5} = \frac{P(E | H_2) \cdot \frac{2}{5}}{\frac{1}{5}} $
Solving the equation above gives:
$ P(E | H_2) = \frac{1}{5} \quad \text{...(ii)} $
Using the equations (i) and (ii), we substitute $P(E | H_2)$ into (i):
$ 2 \cdot \frac{1}{5} + P(E | H_3) = \frac{7}{10} $
Solving for $P(E | H_3)$:
$ \frac{2}{5} + P(E | H_3) = \frac{7}{10} $
Converting $\frac{2}{5}$ to $\frac{4}{10}$ gives:
$ \frac{4}{10} + P(E | H_3) = \frac{7}{10} $
$ P(E | H_3) = \frac{7}{10} - \frac{4}{10} = \frac{3}{10} $
Therefore, the probability that a randomly chosen bulb from $M_3$ is defective is 0.30.
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