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4,310 interview questions, answered.

Reference answers, what the interviewer is really testing, how it is graded, and the follow-ups that come next.

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43 questions

  1. 25How do you determine sample size based off a certain power you want?MediumData
  2. 26What if you're on a tight on time and want to run your A/B test faster, or you don't have a large enough sample size for statistical significance?HardData
  3. 27Say you flip a coin 10 times and observe only one head. What would be your null hypothesis and p-value for testing whether the coin is fair or not?MediumData
  4. 28What's the difference between normalization and standardization?MediumData
  5. 29Difference between power and confidence level.MediumData
  6. 30How do concepts like R-squared, multicollinearity, and statistical tests (T-test vs. F-test) help evaluate linear regression models and interpret their results effectively?MediumData
  7. 31Why is the standard deviation more useful than the range in describing the variability of a dataset?MediumData
  8. 32Explain Type I and Type II errors and the trade-offs between them.MediumData
  9. 33Describe a situation where using an A/B test would be appropriate.MediumData
  10. 34How much incremental revenue can a food delivery company make if it expands to a new vertical?MediumData
  11. 35Explain the Central Limit Theorem (CLT) and why it is useful.MediumData
  12. 36In an A/B test, how can you check if assignment to the various buckets was truly random?MediumData
  13. 37You have two versions of email campaigns. How would you determine which campaigns will lead to higher sales?MediumData
  14. 38Which is greater: 'log(120)' or 'log(1) + log(2) + log(3) + log(4) + log(5)'?EasyData
  15. 39What is the expectation of the variance?MediumData
  16. 40How would you explain a confidence interval to a non-technical audience?MediumData
  17. 41What are outliers and how do you detect and handle them?MediumData
  18. 42When rolling two fair dice, what is the likelihood of the sum being less than 12?EasyData
  19. 43Say you are testing hundreds of hypotheses, each with a t-test. What considerations would you take into account when doing this?MediumData