Assess Fundamental Statistics Knowledge in Data-Science Interviews
GoogleData Scientist · Technical ScreenLast updated
Google data scientist statistics prompt covering MLEs for normal mean and variance, conditional density from a joint pdf, standard normal pdf and cdf, and assumptions for unbiased estimators.
Scenario
Interview assessing fundamental statistics knowledge for a data-science role
Question
Given an i.i.d. sample from a Normal distribution, derive the maximum-likelihood estimators for its mean and variance. 2) For random variables X and Y with a known joint pdf, derive the conditional distribution of X given Y. 3) Write the pdf and cdf of the standard Normal distribution. 4) Starting from a concrete estimation task, list and justify the assumptions required for the estimator to be unbiased.
Hints
Use log-likelihood differentiation, f(x|y)=f(x,y)/f_Y(y), Φ(z)=∫_{-∞}^z φ(t)dt, and recall iid sampling and finite expectation conditions for unbiasedness.
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