Having trouble viewing the text? You can always read the original article here: Statistical Hypothesis Testing: A Simple Guide to Smarter A/B Tests A fundamental concept in A/B testing is statistical hypothesis testing. It involves creating a hypothesis about the relationship between two data sets and then comparing these data sets to determine if there is a statistically significant difference. It may sound complicated, but it explains how A/B testing works. Here’s a high-level look at how...| Conversion Sciences
When your AB test offers inconclusive results, they're still giving you a lot of information. What do you do with the "meh" intel?| Conversion Sciences
This guide to AB Testing provides the definitions, best practices and tools for anyone who wants a higher-converting website.| Conversion Sciences
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Brian Massey is the Founder and Conversion Scientist™ at Conversion Sciences and author of Your Customer Creation Equation. His rare combination of interests, experience and neuroses were developed over almost 20 years as a computer programmer, entrepreneur, corporate marketer, international speaker and writer.| Conversion Sciences
Reprint: F0606C Offering customers too many product choices may decrease their sense of well-being.| Harvard Business Review
We ran an A/B test of a form against a multistep quiz and found that it increased completion rates. Here's what we learned.| Conversion Sciences