This Exam P sample reference tests Binomial Distribution. The affected-applicant count is Binomial(200,0.01). Summing its masses from zero through five gives 0.9839770931, which rounds to 0.98 and choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.85 is the sum of the masses from one through five, 0.849997. It omits the zero-count outcome from a lower tail that begins at zero.
BThe value 0.88 results from omitting the four-count mass and truncating the retained masses to two decimals: 0.13+0.27+0.27+0.18+0.03=0.88. A cumulative sum cannot skip an interior count, and termwise truncation compounds the error.
CUsing an incorrect Poisson mean of 3 instead of np=2 gives Pr(Poisson(3)≤5)=0.916082, leading to the 0.91 choice.
DThe value 0.95 is Pr(X≤4)=0.948254 rounded. It omits the probability of exactly five affected applicants.
Original practice · fully worked
Original variant: flags from two sensor generations
A gateway monitors four legacy sensors and six upgraded sensors. During a diagnostic window, each legacy sensor independently flags with probability 0.30 and each upgraded sensor independently flags with probability 0.10. All ten flag events are independent. Calculate the probability that at most one sensor flags.
A 0.1276
B 0.2127
C 0.3038
D 0.3463
E 0.4314
Variant answer in brief
No flags has probability 0.7⁴ times 0.9⁶. Exactly one flag can come from either sensor generation. Adding those three disjoint contributions gives 0.4314060891, so choice E.
Setup
Setup
Separate the zero-flag event from the two ways to receive exactly one flag.
Pr(N=0)=0.740.96=0.1275989841
Model
Model
For exactly one flag, either one legacy sensor flags or one upgraded sensor flags.
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