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1
Introduction
2
The plan
3
What is an AB test
4
Is this difference real
5
What is significance
6
How small a change
7
Sample size
8
Beware of short experiments
9
Bayesian AB test
10
Group randomisation
11
Nonrandom split
12
Starting too early
13
Not agreeing the setup
14
Accidental differences
15
Validate significance calculation
16
What can go wrong
17
Manufacturing results
18
Not neutral
19
Fixing bugs
20
Documentation
21
Checklist
Description:
Learn how to conduct reliable A/B tests in this 33-minute conference talk from Ruby Central. Explore the fundamentals of A/B testing, including significance, sample size, and group randomization. Discover common pitfalls in setup, implementation, and analysis that can skew results. Gain actionable tips to mitigate issues and ensure accurate testing. Cover topics such as avoiding short experiments, agreeing on setup, validating significance calculations, and proper documentation. Equip yourself with a comprehensive checklist to confidently make data-driven decisions for your app.

How to A/B Test with Confidence

Ruby Central
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