This Exam P sample reference tests Poisson Distribution. The two qualification conditions concern independent variables. The Poisson lower-tail probability is 4e to the minus 3, and the standardized normal threshold is 0.5; multiplying 4 exp(−3) by Φ(0.5) gives 0.1377, so choice B.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.10 is approximately (4 exp(−3))(0.5). It uses a standard-normal cutoff of zero instead of the correctly standardized cutoff 0.5.
CThe value 0.19 is close to 4 exp(−3), the probability of meeting the error-count condition alone. It omits the time condition.
DThe value 0.84 is close to Φ(1). It doubles the correct standardized time gap and also omits the error-count condition.
EThe value 0.89 is approximately 4 exp(−3)+Φ(0.5). The two conditions must both occur, so independence calls for a product rather than a sum.
Original practice · fully worked
Original variant: at least one automatically approved packet
A batch contains four independent data packets. For each packet, the checksum-error count is Poisson with mean ln(2), and its latency score is standard normal; these two measurements are independent. A packet is automatically approved only when it has zero checksum errors and a positive latency score. Calculate the probability that at least one packet in the batch is automatically approved.
A 0.2500
B 0.3164
C 0.4219
D 0.6836
E 0.7500
Variant answer in brief
One packet is approved with probability exp(−ln)(2) times P(Z>0)=0.5(0.5)=0.25. The complement probability that none of four independent packets is approved is 0.75⁴, so the requested probability is 1-0.75⁴=0.68359375, choice D.
Setup
Setup
First calculate the approval probability for one packet.
Pr(X=0)=e−ln2=21
Pr(Z>0)=21
Model
Model
The two packet-level requirements are independent, and approvals are independent across packets.
q=Pr(X=0)Pr(Z>0)=41
A∼Binomial(4,41)
Compute
Compute
Use the complement of receiving no automatic approvals.
Pr(A≥1)=1−Pr(A=0)
=1−(43)4=256175=0.68359375
Answer
Answer
The probability of at least one automatic approval rounds to 0.6836.
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