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Reliability, shrinkage, and the true score behind a noisy test

Asked at DE Shaw, Two Sigma

An aptitude test has reliability ρ=0.8\rho = 0.8, meaning the correlation between a person's observed score and their true underlying aptitude (both standardized) is 0.80.8. A candidate scores 22 standard deviations above the mean.

What is your best estimate of the candidate's true aptitude? Why is the answer not simply 22?

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The observed score is true aptitude plus measurement noise. What is the conditional expectation of the true value given the observed one?

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