This Exam P sample reference tests Continuous Random Variables. Normalizing the density gives the loss CDF 1-(1-x)⁴. Its median is about 0.159104 million, below the payment limit, so choice A is correct.
How to solve this Continuous Random Variables question
Setup
Setup
Normalize the polynomial density on its unit interval.
1=k∫01(1−x)3dx=4k
k=4
Model
Model
Integrating gives the loss CDF. The probability accumulated below the payment ceiling already exceeds one half, so the ceiling does not change the median.
FX(x)=1−(1−x)4,0<x<1
FX(0.225)=1−0.7754=0.6392496>0.5
Compute
Compute
Solve the median equation and convert millions to ordinary currency units.
1−(1−m)4=21
m=1−2−1/4=0.1591035847
106m=159,103.58
Answer
Answer
The nearest listed median payment is 159,000.
159,000(A)
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BThis uses the exponential approximation (1-x)⁴ approximately exp(−4x); solving exp(−4x)=0.5 gives x=ln(2)/4=0.1733 million, but the exact fourth root is required.
CThis uses the inaccurate numerical value 2⁻¹⁄⁴=0.813 instead of 0.840896, producing 1-0.813=0.187 million and placing about 56.3% of losses below the result.
DThis reports the uncapped mean E[X]=1/(1+4)=0.200 million. A mean is not a median for this right-skewed distribution.
EThis reports the payment ceiling itself. The ceiling carries only probability P(X at least 0.225)=0.775⁴=0.36075, and the CDF has crossed 0.5 before that point.
Original practice · fully worked
Original variant: median excess response time
A server response time T, in seconds, is exponential with mean 4. A monitoring panel records only the excess above one second, so its displayed value is W=max(T-1,0). Calculate the median of W.
A 0.000
B 0.693
C 1.773
D 2.773
E 4.000
Variant answer in brief
Only 22.1% of readings are floored at zero, so the median remains in the positive part. Subtracting one from the exponential median gives 4ln(2)-1=1.773, so choice C is correct.
Setup
Setup
Check whether the floor at zero contains at least half of the probability.
Pr(W=0)=Pr(T≤1)=1−e−1/4=0.221199<0.5
Model
Model
Above the floor, W is the increasing transformation T-1. Its median is therefore the raw-time median shifted down by one second.
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