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Mastering Clojure Data Analysis

You're reading from  Mastering Clojure Data Analysis

Product type Book
Published in May 2014
Publisher
ISBN-13 9781783284139
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Eric Richard Rochester Eric Richard Rochester
Profile icon Eric Richard Rochester

Table of Contents (17) Chapters

Mastering Clojure Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Network Analysis – The Six Degrees of Kevin Bacon 2. GIS Analysis – Mapping Climate Change 3. Topic Modeling – Changing Concerns in the State of the Union Addresses 4. Classifying UFO Sightings 5. Benford's Law – Detecting Natural Progressions of Numbers 6. Sentiment Analysis – Categorizing Hotel Reviews 7. Null Hypothesis Tests – Analyzing Crime Data 8. A/B Testing – Statistical Experiments for the Web 9. Analyzing Social Data Participation 10. Modeling Stock Data Index

Conducting an A/B test


In creating an A/B test, we need to decide several things, and then we need to put our plan into action. We'll walk through those decisions here and create a simple set of web pages that will test the aspects of design that we are interested in changing, based upon the behavior of the user.

Before we start building stuff, though, we need to think through our experiment and what we'll need to build.

Planning the experiment

For this chapter, we're going to pretend that we have a website to sell widgets (or rather, looking at the Widgets! website).

The web page in this screenshot is the control page. Currently, we're getting 24 percent click-through on it from the Learn more! button.

We're interested in the text of the button. If it read Order now! instead of Learn more!, it might generate more click-through. (Of course, actually explaining what the product is and what problems it solves might be more effective, but one can't have everything.) This will be the test page, and...

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