This Exam P sample reference tests Conditional Probability. The joint probability of multiple-car and sports-car coverage is 0.20 × 0.62, or 0.124. Inclusion-exclusion makes the probability outside both sets 1-(0.62+0.15-0.124)=0.354, which is choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.230 is 0.38-0.15. It subtracts every sports-car customer from the one-car group, including the 0.124 intersection that belongs to the multiple-car group.
BThe value 0.260 is the rounded result of 0.38-0.124=0.256. It subtracts multiple-car sports customers from the one-car marginal even though those customers are already outside that group.
CThe value 0.323 is 0.38(0.85). It assumes the one-car and non-sports events are independent, contrary to the supplied conditional information.
EThe value 0.380 is 1-0.62, the probability of exactly one car without imposing the additional non-sports requirement.
Original practice · fully worked
Original variant: encryption among archived files
In a digital archive, 0.28 of files use compression but not encryption, 0.17 use encryption but not compression, and 0.35 use neither feature. Given that a selected file uses encryption, calculate the probability that it also uses compression.
A 0.200
B 0.350
C 0.370
D 0.459
E 0.541
Variant answer in brief
The three supplied exclusive cells total 0.80, so the both-features cell is 0.20. Encryption occurs in 0.17+0.20=0.37 of files, and 0.20/0.37=0.540541, making choice E correct.
Setup
Setup
Complete the four-cell partition formed by compression C and encryption E.
Pr(C∩E)=1−0.28−0.17−0.35=0.20
Model
Model
Combine the two disjoint cells in which encryption is present.
Pr(E)=Pr(Cc∩E)+Pr(C∩E)=0.17+0.20=0.37
Compute
Compute
Normalize the both-features cell by the encryption marginal.
Pr(C∣E)=Pr(E)Pr(C∩E)
=0.370.20=3720=0.5405405405…
Answer
Answer
Among encrypted files, approximately 0.541 also use compression.
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