This Exam P sample reference tests Conditional Probability. This is a two-event complement calculation with one conditional probability. The joint multiple-car and sports-car share is 0.096, making the union 0.744 and the complementary target 0.256, so choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.16 is 0.36-0.20. It subtracts the entire sports-car population from the one-car population, incorrectly treating all sports-car customers as one-car customers.
BThe value 0.19 comes from the incorrect chain 0.20(1-0.15)=0.17 for one-car sports customers, followed by 0.36-0.17. The 15% rate is conditional on multiple-car customers, so its complement cannot be applied to the sports-car marginal.
DThe value 0.29 is 0.36(0.80)=0.288 rounded. It assumes the number-of-cars event and sports-car event are independent despite the supplied conditional information.
EThe value 0.31 is 0.36(0.85)=0.306 rounded. It incorrectly applies the 15% sports-car rate among multiple-car customers to the one-car group.
Original practice · fully worked
Original variant: exactly one of two release reviews
A software release may need a security review S and a load review L. The probability of S is 0.30, P(L given S)=0.40, and P(S given L)=0.24. What is the chance that a release needs one review but not both?
A 0.12
B 0.18
C 0.38
D 0.56
E 0.68
Variant answer in brief
The first conditional probability gives a joint review probability of 0.12, and the reverse conditional then gives P(L)=0.50. Removing the overlap from both one-review regions gives 0.56 and choice D.
Setup
Setup
Use the load-review rate within the security-review group to obtain the intersection.
Pr(S∩L)=Pr(L∣S)Pr(S)=0.40(0.30)=0.12
Model
Model
The reverse conditional probability recovers the marginal probability of a load review.
Pr(S∣L)=Pr(L)Pr(S∩L)=0.24
Pr(L)=0.240.12=0.50
Compute
Compute
Add the two disjoint one-review regions after removing the shared intersection from each marginal.
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