This Exam P sample reference tests Binomial Distribution. This is a continuity-corrected normal approximation to a binomial upper tail. The approximating normal has mean 30 and standard deviation 5. Replacing at least 40 by a boundary of 39.5 gives a standardized boundary of 1.9 and upper-tail probability 0.0287, choice E.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.011 corresponds approximately to an upper tail at z=2.3, produced by moving the boundary to 41.5 rather than applying a half-unit correction at 40.
BThe value 0.014 corresponds approximately to z=2.2, using an incorrect boundary of 41.
CThe value 0.018 corresponds approximately to z=2.1, applying the continuity correction in the wrong direction and using 40.5.
DThe value 0.023 is approximately 1-Φ(2), obtained from the uncorrected threshold 40 instead of 39.5.
Original practice · fully worked
Original variant: central range of balanced inspections
A batch contains 100 independently inspected components, and each component has probability 0.50 of passing. Using a normal approximation with continuity correction, calculate the probability that the number of passing components is between 45 and 55, inclusive.
A 0.1357
B 0.6827
C 0.7287
D 0.8413
E 0.8643
Variant answer in brief
The approximating normal has mean 50 and standard deviation 5. Continuity correction changes the inclusive range to 44.5 through 55.5, whose standardized endpoints are −1.1 and 1.1. The resulting central probability is 0.7287, choice C.
Setup
Setup
Find the mean and standard deviation of the balanced binomial count.
μ=100(0.5)=50,σ=100(0.5)(0.5)=5
Model
Model
Expand both inclusive integer endpoints by one half.
Pr(45≤N≤55)≈Pr(44.5<Y<55.5)
Compute
Compute
Standardize the symmetric bounds and subtract the normal CDF values.
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