Quality Control and Defective Item Inspection
Apply compound probability concepts to quality control scenarios involving inspections of defective items.
Questions
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MultiChoice
Factory produces items: 90% Good (G), 10% Defective (D). Inspect 2 independent items. What is P(both Good)?
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MultiChoice
Inspect 2 independent items with P(Defective)=0.10. What is P(both Defective)?
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MultiChoice
Inspect 2 independent items (P(G)=0.9, P(D)=0.1). What is P(1st Good AND 2nd Defective)?
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MultiChoice
Inspect 2 independent items (P(G)=0.9, P(D)=0.1). What is P(at least one Defective)?
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MultiChoice
Batch of 10 items has 2 Defective and 8 Good. Test 2 without replacement. What is P(1st Defective)?
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MultiChoice
Batch of 10 items (2 Defective, 8 Good). Test 2 without replacement. What is P(both Defective)?
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MultiChoice
Batch of 10 items (2 Defective, 8 Good). Test 2 without replacement. What is P(both Good)?
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MultiChoice
Batch of 10 items (2 Defective, 8 Good). Test 2 without replacement. What is P(1st Good, 2nd Defective)?
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MultiChoice
Batch of 10 items (2 Defective, 8 Good). Test 2 without replacement. What is P(1st Defective, 2nd Good)?
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MultiChoice
In this inspection tree diagram, what is the sum of probabilities of all 4 final branch outcomes?
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MultiChoice
Test 3 independent items with P(Defective)=0.1. What is P(all 3 Defective)?
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MultiChoice
Test 3 independent items with P(Good)=0.9. What is P(all 3 Good)?