This Exam P sample reference tests Continuous Random Variables. Normalizing the linear density gives F(t)=t²⁄²⁵⁰⁰ on its support. The relevant conditional ratio is (F(25)-F(20))/(1-F(20))=3/28=0.1071, so choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.09 is the unconditional interval probability Pr(20<T≤25); it omits division by the surviving probability 0.84.
CThe value 0.16 is F(20)=20²⁄⁵⁰², the probability below the conditioning threshold.
DThe value 0.17 is the uniform shortcut (25-20)/(50-20)=1/6. The actual density increases with t rather than remaining constant.
EThe value 0.84 is Pr(T>20), the denominator of the conditional probability rather than the requested ratio.
Original practice · fully worked
Original variant: conditional position of a print mark
The position X of a printed mark, measured in centimeters from the left edge of an eight-centimeter strip, has density f(x)=(8-x)/32 for 0<x<8. Given that the mark lies in the first four centimeters, calculate its expected position.
A 1.333
B 1.778
C 2.000
D 2.667
E 4.000
Variant answer in brief
The first-four-centimeter event has probability 0.75, and its truncated first moment is 4/3. Their ratio is 16/9=1.7778 centimeters, so choice B.
Setup
Setup
Find the probability of the conditioning region.
Pr(X<4)=∫04328−xdx=43
Model
Model
Compute the first moment restricted to that region.
E[X1{X<4}]=∫04x328−xdx=34
Compute
Compute
Normalize the truncated first moment by the conditioning probability.
E[X∣X<4]=3/44/3=916=1.777777…
Answer
Answer
The conditional expected position is about 1.778 centimeters.
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