This Exam P sample reference tests Joint Probability Functions. This is the correlation of two binary variables from a four-cell joint distribution. Their covariance is 1/16 and the product of their standard deviations is √(15)/16, so the correlation is 1/√(15)=0.2582 and choice C.
These notes identify the calculation error associated with each wrong letter when that error is reproducible.
AThe value 0.06 is the rounded covariance 0.0625. Correlation must also divide by the product of the two marginal standard deviations.
BThe value 0.23 is the rounded marginal variance Var(X)=0.234375. A single-variable variance is not the normalized joint association.
DThe value 0.38 is the rounded product moment E[XY]=0.375, which is just the probability of the one-one cell. The product of the means must be removed before normalization.
EThe value 0.63 is the rounded marginal mean E[X]=0.625. It measures the frequency of X=1, not dependence between X and Y.
Original practice · fully worked
Original variant: correlation from conditional completion rates
Let A indicate that a technician has advanced certification and let B indicate that the technician completes a repair within the target time. In a workforce, P(A=1)=0.40, P(B=1 given A=1)=0.70, and P(B=1 given A=0)=0.20. Calculate the correlation coefficient of A and B.
A 0.1200
B 0.2800
C 0.4000
D 0.5000
E 0.7000
Variant answer in brief
The conditional rates give P(B=1)=0.40 and P(A=1,B=1)=0.28. Thus the covariance is 0.12, both marginal variances are 0.24, and the correlation is 0.12/0.24=0.5000, so choice D.
Setup
Setup
Convert the conditional completion rates into a joint success probability and the marginal probability for B.
Pr(A=1,B=1)=0.40(0.70)=0.28
Pr(B=1)=0.40(0.70)+0.60(0.20)=0.40
Model
Model
Because A and B are indicators, their expectations equal their success probabilities.
E[A]=E[B]=0.40
Var(A)=Var(B)=0.40(0.60)=0.24
Compute
Compute
Center the product moment, then divide by the marginal standard deviations.
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