This Exam P sample reference tests Continuous Random Variables. The unknown proportionality constant cancels when the upper-tail integral is divided by the integral over the full support. The ratio is ln(5)/ln(10) = 0.698970, which rounds to 0.70 and matches choice D.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.15 is close to one-half of log base 10 of 2. It both keeps an antiderivative factor that should cancel and reports a lower-tail quantity instead of the requested upper tail.
BDropping the numerator x changes the kernel to 1/(1+x²); its normalized upper tail is about 0.3712, which points to B but solves a different density.
CReplacing the correct logarithmic ratio 10/2 = 5 by (3²-1)/(1+1²) = 4 gives log base 10 of 4 = 0.6021. The plus one in the antiderivative cannot be changed to a subtraction.
EKeeping an extra one-half in the lower-tail probability gives 0.5 log base 10 of 2 = 0.1505; taking its complement then gives 0.8495, near E, but the one-half cancels from the normalized ratio.
Original practice · fully worked
Original variant: acoustic signal intensity
A marine recorder assigns a dimensionless intensity score S between 0 and 4 to each detected acoustic event. The score has a continuous density proportional to s on that interval. Calculate the probability that a detected event has an intensity score greater than 3.
A 0.0625
B 0.2500
C 0.4375
D 0.5625
E 0.7500
Variant answer in brief
Normalizing a density proportional to s gives f(s) = s/8. Its probability above 3 is the ratio (4 squared − 3 squared)/4 squared = 7/16 = 0.4375, so choice C is correct.
Setup
Setup
Introduce the normalizing constant for the linearly increasing density.
f(s)=cs,0<s<4
Model
Model
Choose c so that the total area under the density is one.
1=c∫04sds=c242=8c
c=81
Compute
Compute
Integrate the normalized density over scores above 3.
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