This Exam P sample reference tests Set Operations. The overlap equals the total health share minus the health-only share, or (x-z)/100. Subtracting that overlap from the total disability share gives (y-x+z)/100, which is choice A.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
BThe expression (y-x-z)/100 treats the overlap as (x+z)/100. The health total is the sum of health-only and overlap, so the overlap is x-z, not x+z.
CThe expression (y-x-2z)/100 subtracts the health-only region twice after removing the health total. The z term must enter positively when x-z is subtracted from y.
DThe expression (y-x+2z)/200 is the average of the correct disability-only percentage y-x+z and the health-only percentage z. These are distinct regions, and the question calls for the first one rather than their average.
EThe expression (y-z)/100 subtracts the health-only share directly from the disability total. Those regions are disjoint; the quantity that must be removed from disability is the overlap x-z.
Original practice · fully worked
Original variant: exclusive warnings from indicator covariance
During a diagnostic cycle, event A is a thermal warning and event B is a vibration warning. Their probabilities are 0.40 and 0.50. The covariance of the two event indicators is -0.02. Calculate the probability that exactly one warning occurs.
A 0.18
B 0.36
C 0.50
D 0.54
E 0.72
Variant answer in brief
Indicator covariance equals P(A and B)-P(A)P(B), so the overlap is -0.02+0.40(0.50)=0.18. Exactly one warning has probability P(A)+P(B)-2P(A and B)=0.54, which is choice D.
Setup
Setup
Let I_A and I_B be the two warning indicators and translate their product into the overlap event.
E[IA]=0.40,E[IB]=0.50
E[IAIB]=Pr(A∩B)
Model
Model
Use the covariance to recover the otherwise unreported intersection.
−0.02=Pr(A∩B)−(0.40)(0.50)
Pr(A∩B)=0.18
Compute
Compute
The sum of the marginals counts each exclusive warning once and the overlap twice, so remove the overlap twice.
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