This Exam P sample reference tests Bayes Theorem. Bayes' theorem weights each group's prior share by its conditional five-year rate. The target group contributes 0.4(0.2)=0.08 out of total weight 0.08+0.6(0.4)=0.32, so the posterior is 0.25 and choice B is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis reports the target group's conditional event rate 0.20 and does not update with the other group or either prior.
CThis normalizes only the two conditional rates, 0.20/(0.20+0.40)=1/3, thereby discarding the prior group shares.
DThis assigns equal posterior weight to both groups despite their different prior shares and conditional rates.
EThis is the complementary posterior 0.24/0.32=0.75 for the other group.
Original practice · fully worked
Original variant: infer a supplier defect rate
A factory receives 70% of its components from supplier A and 30% from supplier B. The defect rate is 0.02 for A and an unknown value q for B. Among defective components, 60% came from B. Calculate q.
A 0.014
B 0.021
C 0.030
D 0.070
E 0.600
Variant answer in brief
The joint defective weights are 0.70(0.02)=0.014 for A and 0.30q for B. Setting 0.30q/(0.014+0.30q)=0.60 gives q=0.07, so choice D is correct.
Setup
Setup
Write the joint probability of a defect from each supplier.
Pr(A∩D)=0.70(0.02)=0.014
Pr(B∩D)=0.30q
Model
Model
Express the supplied posterior share of B among all defective components.
0.014+0.30q0.30q=0.60
Compute
Compute
Solve the resulting linear equation for the unknown conditional defect rate.
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