This Exam P sample reference tests Conditional Probability. The exponential cdf is F(x)=1-exp(-2x). Because the numerator event is contained in the conditioning event, the conditional probability is F(0.5)/F(1)=(1-exp(−1))/(1-exp(−2))=0.731059, choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.433 is below the unconditional numerator F(0.5)=0.632. Conditioning on X≤1 removes only larger outcomes, so such a decrease fails a basic direction check.
BThe value 0.547 is F(0.5)F(1)=0.546572 after rounding. Conditional probability requires dividing by the conditioning probability, not multiplying.
CThe value 0.632 is F(0.5)=1-exp(−1), the unconditioned numerator with the normalization by F(1) omitted.
EThe value 0.865 is F(1)=1-exp(−2), the probability of the conditioning event itself.
Original practice · fully worked
Original variant: conditional mean from weighted integer scores
A repair priority score K can be any integer from 1 through 6. Its probability mass is P(K=k)=k/21 for k=1,...,6. Given that a logged score is even, calculate the conditional expected score.
A 0.5714
B 2.6667
C 4.0000
D 4.6667
E 5.3333
Variant answer in brief
The even scores have total probability (2+4+6)/21=4/7 and an unnormalized first moment (2²+4²+6²)/21=8/3. Dividing gives E[K | K even]=14/3=4.6667, choice D.
Setup
Setup
Collect the probability carried by the three even scores.
Pr(K even)=212+4+6=74
Model
Model
Form the first-moment numerator using only outcomes in the conditioning event.
E[K1{K even}]=k∈{2,4,6}∑k21k
Compute
Compute
Evaluate the restricted first moment and normalize it by the even-score probability.
E[K1{K even}]=214+16+36=38
E[K∣K even]=4/78/3=314=4.6667
Answer
Answer
The conditional expected priority score is 4.6667.
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