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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 multiple designs


It's been disappointing to discover that there is no statistical significance behind the increased dwell time of users on the new site design. Better that we discovered this on a small sample of users before we rolled it out to the world though.

Not to be discouraged, AcmeContent's web team works overtime and devises a suite of alternative site designs. Taking the best elements from the other designs, they devise 19 variations to be tested. Together with our original site, which will act as a control, there are 20 different sites to direct visitors to.

Calculating sample means

The web team deploys the 19 new site designs alongside the original site. As mentioned earlier, each receives a random 5 percent of the visitors. We let the test run for 24 hours.

The next day, we receive a file that shows the dwell times for visitors to each of the site designs. Each has been labeled with a number, with site 0 corresponding to the original unaltered design, and numbers 1 to 19...

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