This Exam P sample reference tests Distribution Functions. This problem translates a percentile relation into the quantile function of a second distribution. The resulting CDF is x to the sixth power, whose derivative is 6x to the fifth power and choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis keeps the correct fifth-power shape but uses coefficient 2/3. Its integral over the unit interval is only 1/9, so it is not a density.
CThis adds the CDF powers three and two, then differentiates the resulting fifth-power CDF. Percentile composition multiplies the exponents instead.
DThis treats the second CDF as a square directly from the percentile label, ignoring the first distribution's cubic CDF.
EThis squares the first quantile instead of composing the percentile levels. Inversion then produces the wrong three-halves power density.
Original practice · fully worked
Original variant: density of a reported odds score
A device generates a raw calibration value U uniformly from 0 to 1. It reports the odds, U divided by one minus U, as score Y. Determine the density of Y for positive y.
A y/(1+y)
B 1/(1+y)²
C 1/(1+y)
D exp(-y)
E 1/y² for y>1
Variant answer in brief
The increasing odds transformation has inverse y divided by one plus y. This is also the transformed CDF, whose derivative is the inverse square of one plus y, choice B.
Setup
Setup
Solve the increasing reporting transformation for the raw value.
y=1−uu
u=1+yy
Model
Model
Translate a reported-score event through the inverse mapping and use the uniform CDF.
FY(y)=Pr(1−UU≤y)
FY(y)=Pr(U≤1+yy)=1+yy,y>0
Compute
Compute
Differentiate the transformed CDF.
fY(y)=dyd(1+yy)=(1+y)21
Answer
Answer
The odds score has an inverse-square density on the positive half-line.
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