PracHub
QuestionsPremiumLearningGuidesInterview PrepNEWCoaches
|Home/Analytics & Experimentation/Other

Design and power an A/B on question mix

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's experimental-design and statistical-analysis competencies, including choosing the unit of analysis and randomization scheme, defining primary and guardrail metrics, conducting power/sample-size calculations, and specifying stopping and multiple-comparisons procedures.

  • medium
  • Other
  • Analytics & Experimentation
  • Data Scientist

Design and power an A/B on question mix

Company: Other

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Take-home Project

You need to test whether replacing the 10% 'other' verbal questions with more grammar questions improves productivity in a 15-minute, 19-question section. Design a rigorous randomized experiment. Specify: (a) Unit of analysis, randomization scheme, and whether you use parallel arms (between-subjects) or a crossover (within-subjects) with counterbalancing to control learning effects; (b) Primary metric (e.g., correct answers per minute) and at least two guardrail metrics (e.g., fairness across native/non-native speakers, speed–accuracy trade-off); (c) Inclusion/exclusion criteria, pre-registration, blinding, and quality controls (e.g., proctoring, minimum reading times); (d) A sample-size calculation for detecting a +0.4 correct/attempt improvement with SD=2.8 at alpha=0.05 and 80% power using a two-sample t-test—show the formula and the final per-arm n; (e) Your stopping rule, multiple-comparisons plan (e.g., Holm–Bonferroni across subtypes), and how you will interpret effects if time-on-question changes but accuracy does not.

Quick Answer: This question evaluates a data scientist's experimental-design and statistical-analysis competencies, including choosing the unit of analysis and randomization scheme, defining primary and guardrail metrics, conducting power/sample-size calculations, and specifying stopping and multiple-comparisons procedures.

Related Interview Questions

  • Design metrics resilient to data quality - Other (Medium)
  • Design an A/B test with guardrails - Other (hard)
  • Find and fix metric drops systematically - Other (medium)
  • Separate demand from supply for jeans - Other (medium)
  • Design an A/B test for a Celebrate reaction - Other (hard)
Other logo
Other
Oct 13, 2025, 9:49 PM
Data Scientist
Take-home Project
Analytics & Experimentation
0
0

Experiment Design: Replacing 10% "Other" Verbal With Grammar in a 15-Min, 19-Question Section

You need to test whether replacing the 10% "other" verbal questions with additional grammar questions improves productivity in a 15-minute section with 19 questions total (i.e., ~2 questions replaced). Assume the item bank for both question types is pre-calibrated to be of comparable difficulty within type.

Specify the following:

(a) Unit of analysis, randomization scheme, and whether you use parallel arms (between-subjects) or a crossover (within-subjects) with counterbalancing to control learning effects.

(b) Primary metric (e.g., correct answers per minute) and at least two guardrail metrics (e.g., fairness across native/non-native speakers, speed–accuracy trade-off).

(c) Inclusion/exclusion criteria, pre-registration, blinding, and quality controls (e.g., proctoring, minimum reading times).

(d) A sample-size calculation for detecting a +0.4 correct/attempt improvement with SD = 2.8 at α = 0.05 and 80% power using a two-sample t-test—show the formula and the final per-arm n.

(e) Your stopping rule, multiple-comparisons plan (e.g., Holm–Bonferroni across subtypes), and how you will interpret effects if time-on-question changes but accuracy does not.

Solution

Show

Comments (0)

Sign in to leave a comment

Loading comments...

Browse More Questions

More Analytics & Experimentation•More Other•More Data Scientist•Other Data Scientist•Other Analytics & Experimentation•Data Scientist Analytics & Experimentation
PracHub

Master your tech interviews with 7,500+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities
  • Student Access

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.