This Exam P sample reference tests Binomial Distribution. The sales count is Binomial(5,0.20). Complementing the zero-sale and one-sale outcomes gives 1-0.8⁵-5(0.2)(0.8)⁴=0.26272, which rounds to 0.26 and choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.04 is (0.20)², the probability that two specified appointments both result in sales. It ignores the other appointments and every placement of two or more sales.
BThe value 0.20 is the success probability for one appointment, not the probability of at least two successes in five.
DThe value 0.40 is 2(0.20). It adds two single-appointment probabilities without counting placements or correcting overlapping multi-sale outcomes.
EThe value 0.74 is Pr(S≤1)=0.73728 rounded. It is the complement of the requested event.
Original practice · fully worked
Original variant: dispersion of a threshold quality bonus
Eight independent quality checks each pass with probability 0.25. A technician receives a bonus of 120 credits if at least two checks pass and receives no bonus otherwise. Calculate the standard deviation of the bonus.
A 0.3671
B 44.05
C 57.84
D 75.95
E 95.47
Variant answer in brief
The bonus event has probability 1-0.75⁸-8(0.25)(0.75)⁷=0.6329193. The bonus is 120 times a Bernoulli variable with that parameter, so its standard deviation is 120sqrt(q(1-q))=57.84, choice C.
Setup
Setup
Let Q be the number of passing checks and q the probability that the bonus is earned.
Q∼Binomial(8,0.25)
Model
Model
Complement zero or one pass to obtain the bonus probability.
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