This Exam P sample reference tests Bayes' Theorem. Female contributors supply probability mass 0.45(0.20)=0.09, while male contributors supply 0.55(0.30)=0.165. Bayes' theorem gives 0.09/(0.09+0.165)=6/17=0.352941, so choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.09 is the joint probability of being female and contributing. It is the Bayes numerator, not the conditional probability.
BThe value 0.23 is 0.09/(0.09+0.30) rounded. It uses the male contribution rate in the denominator without multiplying by the male employee share.
DThe value 0.45 is the unconditional female share. It ignores the different contribution rates.
EThe value 0.55 is the unconditional male share, so it is both the wrong category and unconditioned.
Original practice · fully worked
Original variant: tray source after unlike materials
A routing device selects tray A with probability 0.40 and tray B otherwise. Tray A contains four copper pieces and two glass pieces; tray B contains one copper piece and five glass pieces. Two pieces are drawn without replacement from the selected tray, and their materials are different. Calculate the conditional probability that tray A was selected.
A 0.3333
B 0.4000
C 0.5161
D 0.5333
E 0.6000
Variant answer in brief
The unlike-material likelihoods are 8/15 for tray A and 1/3 for tray B. Prior weighting gives contributions 16/75 and 15/75, so the posterior tray-A probability is 16/31=0.5161 and choice C.
Setup
Setup
Let D denote the observation that the two materials differ. Compute its likelihood under each tray.
Pr(D∣A)=2(64)(52)=158
Pr(D∣B)=2(61)(55)=31
Model
Model
Weight the two unlike-material likelihoods by the tray-selection probabilities.
Pr(A∩D)=0.40(158)=7516
Pr(B∩D)=0.60(31)=7515
Compute
Compute
Normalize the tray-A contribution over both possible sources of unlike materials.
Pr(A∣D)=16/75+15/7516/75
=3116=0.5161290323
Answer
Answer
The posterior tray-A probability rounds to 0.5161.
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