This Exam P sample reference tests Discrete Random Variables. This is a Poisson cumulative-probability calculation. Summing the masses from zero through four for a Poisson mean of two gives 7 times exp(-2), approximately 0.947347, which matches choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThis expression is only the single Poisson mass at count four. A cumulative probability must also include counts zero through three.
BThis takes the complement of the cumulative probability through three, producing the probability of four or more rather than no more than four.
CThis is the cumulative probability through count three. It is missing the nonzero mass at count four.
DThis is the probability of at least one occurrence, found by excluding only count zero; it does not impose the upper cutoff at four.
Original practice · fully worked
Original variant: meteor calibration window
During a twenty-minute calibration window, an observatory camera records a Poisson number of meteor streaks with mean 1.5. Calculate the probability that the camera records no more than three streaks during the window.
A 0.1255
B 0.2231
C 0.5578
D 0.9344
E 0.9814
Variant answer in brief
Adding the Poisson masses for zero through three streaks gives 0.9343575. Rounded to four decimals, this is 0.9344 and selects choice D.
Setup
Setup
Let M denote the number of recorded streaks in the calibration window.
M∼Poisson(1.5)
Model
Model
The requested event contains the four counts from zero through three.
Pr(M≤3)=e−1.5k=0∑3k!1.5k
Compute
Compute
Evaluate the short cumulative sum and then apply the exponential factor.
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