This Exam P sample reference tests Exponential Distribution. This problem asks for an exponential lifetime probability after survival to an earlier age. Memorylessness leaves a fifteen-year residual window, whose failure probability is 0.608394 and choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis computes only the unconditional interval probability S(5)-S(20)=0.445111 and omits division by the conditioning probability S(5).
BThis incorrectly treats the nested events as independent and multiplies S(5)F(20)=0.522004, which rounds to 0.522.
DThis divides by the survival-to-five probability twice: [S(5)-S(20)]/S(5)²=0.831577, producing 0.832.
EThis divides F(20) by S(5) without removing failures before year five from the numerator, giving 0.975232.
Original practice · fully worked
Original variant: conditional failure under an increasing hazard
A filtration cartridge has survival function S(t)=exp[-(t/8)²] for t≥0, where t is measured in hours. A cartridge is still operating at hour 4. Calculate the conditional probability that it fails by hour 8.
A 0.2212
B 0.3679
C 0.5276
D 0.6321
E 0.7788
Variant answer in brief
Conditional survival from hour 4 through hour 8 is S(8)/S(4)=exp(-0.75). Its complement is 0.527633, so choice C.
Setup
Setup
Write the conditional survival ratio over the observed operating interval.
Pr(T>8∣T>4)=S(4)S(8)
Model
Model
The squared-time cumulative hazard means the elapsed four hours do not cancel as they would for an exponential lifetime.
S(4)S(8)=exp[−(88)2+(84)2]
S(4)S(8)=e−3/4
Compute
Compute
Take the complement of conditional survival to obtain failure by hour eight.
Pr(T≤8∣T>4)=1−e−3/4=0.5276334473…
Answer
Answer
The conditional failure probability rounds to 0.5276.
The 3108-page Probability Proof Manual reorganizes 718 verified Exam P solutions by syllabus skill and adds formula proofs, error patterns, and original worked practice.