Calculate Sample Size for Effective A/B Test Design

Q: Calculate Sample Size for Effective A/B Test Design

This question evaluates a candidate's competency in experiment design, sample size calculation, and statistical power analysis for binary conversion metrics within the Analytics & Experimentation domain.

Q: How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Question

A/B Test Planning: Sample Size and Power

Scenario

You are planning an online A/B test to evaluate a new marketing feature. The primary success metric is a user-level conversion rate (binary: converted vs. not). You need to determine the required sample size and ways to maximize the test's statistical power under realistic constraints.

Questions

How do you calculate the required sample size for an A/B test?
What techniques can improve the statistical power of the experiment?

Calculate Sample Size for Effective A/B Test Design

A/B Test Planning: Sample Size and Power

Scenario

Questions

Solution

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Calculate Sample Size for Effective A/B Test Design

Overview

A/B Test Planning: Sample Size and Power

Scenario

Questions

Solution

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