Statistics and Experimentation Questions
Understand what types of statistics questions are asked in data science interviews and what interviewers are looking for. Review fundamental statistics concepts through concise refresher lessons. Learn how to design A/B and hypothesis tests in interviews.
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2,900+ students
Updated Sep 2026
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What you'll find in this course
77 lessons
23 videos
19 hours
Statistics and Experimentation Questions
8 modules
77 lessons
23 videos
Introduction to Regression Questions
Free
Linear Regression Concepts
Logistic Regression Concepts
How to Answer Regression Questions
Select Input for Modeling When Handling Multicollinearity
Gradient Descent and Model Optimization
Advantages and Limitations of Linear Regression
Modeling Linear Regression
R-Squared, Multicollinearity, and Statistical Tests
Introduction to Experimentation Questions
Free
How to Answer A/B Testing Questions
Alternatives to A/B Testing
Design Campaign Experiment and Success Metrics
Design A/B test for New Campaign
Design A/B Testing Alternatives
Design Test for Stories Reaction Feature
Design Test for Driver Matching Algorithm
Increase Sales through A/B Testing
Adjust P-value Threshold
Faster A/B Testing and Statistical Significance
A/B Testing Email Campaign
Analyze A/B Test Results for Checkout
T-test Assumptions and Alternatives
Standard Deviation vs Range
Power vs. Confidence Level
Expectation of Variance
Checking Random Assignment in A/B Testing
What is A/B testing
Statistical Background behind Power
Type I vs. Type II Error
Multiple t-tests
Covariance vs. Correlation
Common Pitfalls of A/B Testing
Explain Confidence Interval
Central Limit Theorem and its Usefulness
Z and T-tests
Hypothesis Testing and p-values
Hypothesis Testing for Coin Flip
Hypothesis Testing for Amazon
Distribution of Daily Minutes on Facebook
Search Distribution
Correlation and Outliers
False Positive Distribution
Biased vs Unbiased Estimator
Statistical Significance vs Practical Significant
Sampling Distribution in Inferential Statistics
Novelty and Primary Effects in Experiments
Non-Normal Distribution
Network Effects in A/B Testing
What is A/B testing and when should it be used?
Verifying Random A/B Testing Groups
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