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Conditional Probability & Bayes' Theorem · Question 123 of 125

Question 123

HardOriginal question

20% of the items reaching an inspector are defective. The inspector flags 90% of the defective items, and also wrongly flags 5% of the good ones. An item is not flagged. What is the probability that it is defective?

Options for question 123

Show the answer and explanation
CorrectNot quiteAnswer A

Correct answer: A

Explanation

  1. Not flagged: defective 0.2×0.1=0.020.2 \times 0.1 = 0.02 and good 0.8×0.95=0.760.8 \times 0.95 = 0.76, in all 0.780.78.

  2. 0.020.78=139\frac{0.02}{0.78} = \frac{1}{39}.

Worth noting

110\frac{1}{10} is the chance that a defective item escapes, not the chance that an unflagged item is defective.

Concept
Bayes' theorem
Typical time
120 s
Your time
—
The rule this testsBayes' theorem
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Ten questions from Conditional Probability & Bayes' Theorem, at your own pace.

Practise this chapter →

Ten questions from Conditional Probability & Bayes' Theorem, at your own pace.