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Question

At a repair desk, an electronic device is either sound or faulty. Before testing, two out of every three devices are expected to be sound. The desk first runs a quick check, which shows green with probability \(3/4\) for a sound device and \(1/4\) for a faulty one.

A green result sends the device to scanner A; a red result sends it to scanner B. Scanner A reports clear with probability \(4/5\) if the device is sound and \(1/5\) if it is faulty. Scanner B reports clear with probability \(1/2\) if sound and \(1/10\) if faulty. Conditional on the device's actual condition and which scanner is used, the follow-up result is independent of the quick check.

A supervisor sees only the final label clear, not the earlier colour or which scanner was used. What is the probability that this device is sound? Explain why using the accuracy figures for scanner A alone is not sufficient.

Hint 1

A final clear label can come from two distinct test routes. Account for both green→A and red→B.

Calculate \(P(\text{clear}\mid\text{sound})\) and \(P(\text{clear}\mid\text{faulty})\) by routing probabilities, then apply Bayes’ rule with prior 2/3.

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