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Stony Brook University Research Analyst Interview Questions

The questions to prepare for a Stony Brook University Research Analyst interview. Questions from real interview reports rank first. Updated daily.

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~5htotal time
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1
Statistics & ProbabilityStart here. 22 questions · ~181 min
Correlation vs Causation in AnalysisEasy

Explain why two metrics moving together does not prove that one causes the other, and how to assess causality more carefully.

RegressionCorrelationCausal InferenceStony Brook University
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesStony Brook University
Communicate Equation MeaningMedium

Tests your conceptual understanding of models and ability to translate math to real-world meaning.

Stony Brook University
Central Limit Theorem UseEasy

Tests core probability knowledge and understanding of why sampling distributions matter.

DistributionsCentral Limit TheoremStatistical SignificanceStony Brook University
Linear Regression AssumptionsMedium

Tests understanding of regression assumptions and diagnostic practices to ensure credible results.

RegressionHypothesis TestingStatistical SignificanceStony Brook University
Choosing the Right ModelMedium

Tests model selection judgment and alignment between assumptions, data, and research goals.

RegressionHypothesis TestingCausal InferenceStony Brook University
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2
Behavioral & Leadership16 questions · ~131 min
Motivation in Regulated ResearchEasy

Tests motivation for regulated research work, plus ownership and commitment when compliance requirements add friction.

career interestregulatory environmentmotivationStony Brook University
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3
More topics1 question · ~8 min
Data Analysis and SQL BasicsMedium

Evaluates practical data analysis experience and familiarity with common data tools.

Data AnalysisStony Brook University

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Regression With R or PythonMedium
Practice
Practice drill

Prepare fund and benchmark return data for regression analysis and calculate alpha, beta, R-squared, and model ranking.

data preparationanalytics toolsRegressionStepStone Group
Handling Missing DataEasy
Practice
Practice drill

Replace missing sales fields with defined defaults and return a consistently ordered dataset.

missing valuesdata cleaningnull handlingUniversity of MinnesotaThe Home DepotNationwide
Handling Missing DataMedium
Practice
Practice drill

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningEversource EnergyCincinnati Children's HospitalAdtalem Global Education
The finish line: interview-readyComplete all 39 questions plus 3 hands-on drills to finish this plan.