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Clojure for Data Science

You're reading from   Clojure for Data Science Statistics, big data, and machine learning for Clojure programmers

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Length 608 pages
Edition 1st Edition
Languages
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Author (1):
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Henry Garner Henry Garner
Author Profile Icon Henry Garner
Henry Garner
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Toc

Table of Contents (12) Chapters Close

Preface 1. Statistics FREE CHAPTER 2. Inference 3. Correlation 4. Classification 5. Big Data 6. Clustering 7. Recommender Systems 8. Network Analysis 9. Time Series 10. Visualization Index

Testing a new site design


The web team at AcmeContent have been hard at work, developing a new site to encourage visitors to stick around for an extended period of time. They've used all the latest techniques and, as a result, we're pretty confident that the site will show a marked improvement in dwell time.

Rather than launching it to all users at once, AcmeContent would like to test the site on a small sample of visitors first. We've educated them about sample bias, and as a result, the web team diverts a random 5 percent of the site traffic to the new site for one day. The result is provided to us as a single text file containing all the day's traffic. Each row shows the dwell time for a visitor who is given a value of either "0" if they used the original site design, or "1" if they saw the new (and hopefully improved) site.

Performing a z-test

While testing with the confidence intervals previously, we had a single population mean to compare to.

With z-testing, we have the option of comparing...

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