This Exam P sample reference tests Independence. This is an upper tail of a sum of four independent, nonidentical Bernoulli indicators. The exactly-three cases total 0.3006 and the all-four case contributes 0.0891, giving 0.3897 and choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.24 rounds P(N at most 1)=0.0396+0.1996=0.2392. That lower tail allows too few successes rather than more than two.
BThe value 0.30 is the probability of exactly three successes, rounded from 0.3006. It omits the 0.0891 probability that all four succeed.
DThe value 0.61 is the complementary probability P(N at most 2)=1-0.3897=0.6103.
EThe value 0.76 rounds P(N at least 2)=0.3711+0.3006+0.0891=0.7608. It incorrectly includes the exactly-two outcome.
Original practice · fully worked
Original variant: quadratic packet-processing charge
Five remote stations independently decide whether to upload a calibration packet during a service window. Their upload probabilities are 0.10, 0.30, 0.50, 0.70, and 0.90. If N packets arrive, the processing charge is 5N squared credits. Calculate the expected processing charge.
A 4.25 credits
B 12.50 credits
C 31.25 credits
D 35.50 credits
E 125.00 credits
Variant answer in brief
The packet count has mean 2.5 and variance 0.85 because it is a sum of independent Bernoulli indicators. Thus E[N squared]=0.85+2.5 squared=7.10, making the expected charge 5(7.10)=35.50 credits and choice D.
Setup
Setup
Write the packet count as a sum of five independent upload indicators.
N=I1+⋯+I5
(p1,…,p5)=(0.10,0.30,0.50,0.70,0.90)
Model
Model
Add Bernoulli means and variances, then convert the variance to a second moment.
E[N]=i∑pi=2.50
Var(N)=i∑pi(1−pi)=0.85
E[N2]=Var(N)+E[N]2
Compute
Compute
Evaluate the second moment and apply the quadratic charge rule.
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