Interview scenarios may either be asked to perform a power analysis of A/B experiments or construct a binomial distribution to simulate user behaviors in a programming language, R or Python.
Introduction Statistical Simulation is the most heavily tested topic in Data Science/Engineering Interviews! If we go over DS Interview questions posted at Glassdoor, statistical simulation is the key skill that all big tech companies expect their applicants to excel in. Interview scenarios may either be asked to perform a power analysis of A/B experiments or construct a binomial distribution to simulate user behaviors in a programming language, R or Python. These are not difficult questions but require a deep understanding of fundamental statistics and fluent programming skills. Without deliberate practice, these questions may likely trip you over. This post presents 4 types of the most often tested statistical distributions in Data Science interviews and live-code solutions in Python.
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