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38 questions

  1. 25What's the difference between normalization and standardization?MediumData
  2. 26Difference between power and confidence level.MediumData
  3. 27How 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
  4. 28Why is the standard deviation more useful than the range in describing the variability of a dataset?MediumData
  5. 29Explain Type I and Type II errors and the trade-offs between them.MediumData
  6. 30Describe a situation where using an A/B test would be appropriate.MediumData
  7. 31How much incremental revenue can a food delivery company make if it expands to a new vertical?MediumData
  8. 32Explain the Central Limit Theorem (CLT) and why it is useful.MediumData
  9. 33In an A/B test, how can you check if assignment to the various buckets was truly random?MediumData
  10. 34You have two versions of email campaigns. How would you determine which campaigns will lead to higher sales?MediumData
  11. 35What is the expectation of the variance?MediumData
  12. 36How would you explain a confidence interval to a non-technical audience?MediumData
  13. 37What are outliers and how do you detect and handle them?MediumData
  14. 38Say you are testing hundreds of hypotheses, each with a t-test. What considerations would you take into account when doing this?MediumData