Statistics Problems
Source: Problem prompts adapted from Ace the Data Science Interview — Chapter 6 Easy set (Huo & Singh). Model answers here are original for this course.
Ten statistics interview questions, the easy tier. Most of these are explain-it-out-loud questions — type your answer in the text box, then Show model answer to compare, and Mark as reviewed. Some prompts require a minimum word count and/or specific vocabulary (shown as “Using X and Y, explain: …”); hit Check requirements before the model answer unlocks. The one compute question still uses the numeric-answer format (Medium and Hard lean more numeric).
Hints: interviewers listen for the right vocabulary (null/alternative, Type I/II, significance vs power) used correctly — ground each answer in a concrete example.
Using “sample mean” and “normal”, explain:
Explain the Central Limit Theorem (CLT). Why is it useful in practice?
Minimum 3 words. Your answer must include: “sample mean”, “normal”.
Meet the writing requirements, then you can open the model answer.