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About this interview
A technical interview on Statistics and Hypothesis Testing, pitched at the easy level. A voice AI interviewer leads the conversation, adapts its questions to your answers, keeps you on topic, and afterward gives you honest, specific feedback on where you were strong and where to improve. Expect roughly 30 minutes.
What you'll be assessed on
Explain central tendency, spread, skewness, and when each summary statistic is misleading
Articulate the Central Limit Theorem and state the conditions required for it to hold
Walk through hypothesis testing — null/alternative hypotheses, p-value, Type I/II errors, and significance level
Compare t-tests, z-tests, chi-square, and ANOVA and choose the right test for a given scenario
Topics covered
Descriptive StatisticsCentral Limit TheoremHypothesis TestingStatistical TestsApplied Hypothesis Testing
A few sample questions
Just examples to set expectations - the real interview has many more and adapts to your responses.
“What is the difference between the mean, median, and mode, and when would you prefer each as a measure of central tendency?
“Walk me through the full hypothesis testing framework from start to finish. What are the steps you take before you even look at any data?
“You are testing 200 feature flags simultaneously using individual t-tests at alpha equals 0.05. How many false positives would you expect to see even if none of the features had any real effect, and what would you do about it?