This Exam P sample reference tests Gamma Distribution. The mean and variance identify gamma shape 2 and scale 3. Its survival probability at 4 is exp(-4/3)(1+4/3)=0.615060, which rounds to 0.62 and choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AFor shape 2, a survival probability of 0.54 would require scale approximately 2.574 rather than 3. This reflects an understated scale that fails the supplied moment ratio Var(X)/E[X]=3.
BThe value 0.56 corresponds to a shape-2 scale near 2.678. It is a nearby table value for an understated scale and does not satisfy both supplied gamma moment equations.
CThe value 0.58 corresponds to a shape-2 scale near 2.789. It is a nearby table value for the wrong parameter, not the distribution with scale 3.
DThe value 0.60 corresponds to a shape-2 scale near 2.906. Rounding the scale downward before evaluating the tail changes the result; the exact moment ratio gives scale 3.
Original practice · fully worked
Original variant: compare two gamma completion times
Two independent processing times X and Y have gamma distributions with a common scale of 4. Their shape parameters are 2 and 3, respectively. Calculate the probability that X exceeds Y.
A 0.1250
B 0.1875
C 0.3125
D 0.4000
E 0.6875
Variant answer in brief
For independent gamma variables with a common scale, U=X/(X+Y) is Beta(2,3). Thus P(X>Y)=P(U>1/2)=5/16=0.3125, choice C.
Setup
Setup
Transform the two common-scale gamma variables to their share of the total.
U=X+YX∼Beta(2,3)
Model
Model
The event X greater than Y is equivalent to the share U exceeding one half.
fU(u)=12u(1−u)2,0<u<1
{X>Y}={U>21}
Compute
Compute
Integrate the beta density over the upper half of its support.
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