Explain instrumental variables with an example

Last updated: March 25, 2026

Quick Overview

Explain instrumental variables in simple terms and provide a concrete example.

Two Sigma
Statistics & Math
Data Scientist
Two Sigma
March 25, 2026
Data Scientist
Phone Screen
Statistics & Math
Medium

40

5

1,928 solved


Explain instrumental variables in simple terms and provide a concrete example.

This statistics question from Two Sigma's Phone Screen tests your ability to apply mathematical reasoning to practical problems. The interviewer expects precise definitions, correct methodology, and awareness of assumptions and limitations.

What the Interviewer Expects
  • Set up the problem formally with proper notation
  • Apply the correct statistical test with clear justification
  • Interpret results with appropriate caveats and confidence levels
  • Discuss practical significance vs statistical significance
  • Identify potential confounders and how to address them
Key Topics to Cover
Hypothesis testing (H0, H1, p-values)
Conditional probability and Bayes theorem
Regression analysis
Multiple testing correction (Bonferroni, FDR)
How to Approach This
  1. Define your hypotheses (H0 and H1) clearly before performing any test.
  2. Calculate required sample size BEFORE running an experiment, using power analysis.
  3. Remember the Central Limit Theorem: sample means become approximately normal with large n.
  4. Watch for Simpson's paradox. Always segment data by key dimensions.
  5. Distinguish between statistical significance and practical significance.
Possible Follow-up Questions
  • What assumptions does this test make, and how would you validate them?
  • How would you design a follow-up experiment based on these results?
  • What alternative statistical method could you use here?
Sharpen Your Skills on Codemia

Practice similar problems with our interactive workspace, get AI feedback, and track your progress.

Browse Statistics Questions
Sample Answer
Setting Up the Problem

Start by formalizing the problem: 1. **Define the hypotheses**: H0 (null hypothesis) and H1 (alternative). Be precise about what you're testing. 2. ...

Solution Approach

**Compute the test statistic**: Apply the appropriate formula using the sample data. **Find the p-value**: The probability of observing a result this...


Submit Your Answer
Markdown supported

Related Questions