This Exam P sample reference tests Variance and Standard Deviation. Independence makes the four cost variances additive. Their sum is 8.25, and its square root is 2.872281, which rounds to 2.9 and choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 1.4 is √(1 squared+1 squared), using only the first two plants and omitting the other two independent cost sources.
BThe value 2.1 is √(1 squared+1 squared+1.5 squared)=2.0616, rounded. It includes three plants but leaves out the final standard deviation of 2.
DThe value 5.5 is 1+1+1.5+2. It adds standard deviations directly; independence requires adding their squares.
ESquaring the first three entries but leaving the last unsquared gives 1+1+2.25+2=6.25, which rounds to 6.3 when incorrectly reported as a standard deviation. This mixes variance and standard-deviation units and also omits the final square root.
Original practice · fully worked
Original variant: share of variance from an acoustic noise source
An underwater microphone's centered measurement noise is the sum of three independent sources. Their standard deviations are 4, 5, and 10 millipascals. What fraction of the total noise variance is attributable to the third source?
A 0.071
B 0.277
C 0.291
D 0.526
E 0.709
Variant answer in brief
The three independent variance contributions are 16, 25, and 100. The third source therefore contributes 100 of the total 141 variance units, or 0.709220, which is choice E.
Setup
Setup
Convert each source's standard deviation to a variance contribution.
(σ12,σ22,σ32)=(42,52,102)=(16,25,100)
Model
Model
Independence removes cross-covariance terms from the total variance.
Var(N1+N2+N3)=16+25+100=141
Compute
Compute
Divide the third contribution by the aggregate variance.
third-source share=141100=0.7092198582…
Answer
Answer
The third source accounts for approximately 0.709 of total variance.
The 3108-page Probability Proof Manual reorganizes 718 verified Exam P solutions by syllabus skill and adds formula proofs, error patterns, and original worked practice.