This Exam P sample reference tests Counting Methods. Conditioning on three damaged items makes all C(10,3)=120 subsets equally likely. The favorable category counts are 30, 6, and 3, totaling 39, so the probability is 39/120=0.325 and choice C is correct.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis applies inclusion-exclusion but omits the add-back intersection: (120-C(8,3)-C(7,3))/120=29/120=0.241667.
BThis counts only subsets with one item from each of the three categories, giving 30/120=0.250 and omitting favorable subsets with no uninsured item.
DThis multiplies the separate probabilities of at least one fully insured and at least one partially insured as if those events were independent, obtaining (64/120)(85/120)=0.377778.
EThis selects one full item, one partial item, and then any of eight remaining items, giving 2x3x8/120=0.400 but double-counting subsets containing two full or two partial items.
Original practice · fully worked
Original variant: conditioned display selection
A curator has 5 science volumes, 4 history volumes, and 3 art volumes available for a four-book display. Every four-book subset is equally likely. Given that the display contains at least one art volume, calculate the probability that it contains exactly two science volumes.
A 0.303
B 0.316
C 0.325
D 0.407
E 0.424
Variant answer in brief
There are C(12,4)-C(9,4)=369 displays with an art volume. Choosing two science volumes and two others with at least one art volume gives C(5,2)[C(7,2)-C(4,2)]=150, so the conditional probability is 150/369=0.4065 and choice D.
Setup
Setup
Count the displays satisfying the conditioning event.
NA≥1=(412)−(49)=495−126=369
Model
Model
Choose two science volumes, then choose two nonscience volumes with at least one art volume.
N2S,A≥1=(25)((27)−(24))
Compute
Compute
Evaluate the favorable count and divide by the conditional sample space.
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