Wrap up & Experimentation CS147L Lecture 8 Mike Krieger - PowerPoint PPT Presentation

Jan 02, 2024 •181 likes •1.38k views

Wrap up & Experimentation CS147L Lecture 8 Mike Krieger Wednesday, November 25, 2009 Intro Wednesday, November 25, 2009 Welcome back! Wednesday, November 25, 2009 By the end of today... - Questions from implementations - A few

Even better: Protovis - Stanford Graphics lab project - http://vis.stanford.edu/protovis/ Wednesday, November 25, 2009
Significant change? - Chi-Squared test Wednesday, November 25, 2009
Chi-Squared - Idea: measure whether a particular distribution of measures deviates significantly from expected Wednesday, November 25, 2009
Null hypothesis - Button color has no impact on click- through rate Wednesday, November 25, 2009
Testing Where: O(i) is the observed frequency, E(i) is the expected frequency degrees of freedom = (number of categories) - 1 Wednesday, November 25, 2009
Sample data Blue Red Green Total 267 267 266 800 Significant? Wednesday, November 25, 2009
Sample data Blue Red Green Total 270 250 260 800 Significant? Wednesday, November 25, 2009
Sum the differences Blue: (270-267)^2 / 267 = 0.03 Red: (250-267)^2 / 267 = 1.08 Green: (280-267)^2 / 267 = 0.63 0.03 + 1.08 + 0.63 = 1.74 = χ 2 Wednesday, November 25, 2009
Look it up in table - (or use R/SPSS/something fancier) - http://www2.lv.psu.edu/jxm57/irp/ chisquar.html Wednesday, November 25, 2009
Significant? p ~ 0.4 (we want 0.05) not significant Wednesday, November 25, 2009
Sample data Blue Red Green Total 240 230 330 800 Significant? Wednesday, November 25, 2009
Sum the differences Blue: (240-267)^2 / 267 = 2.73 Red: (230-267)^2 / 267 = 5.12 Green: (330-267)^2 / 267 = 14.86 2.73 + 5.12 + 14.86 = 22 = χ 2 Wednesday, November 25, 2009
Significant? p < 0.001 highly significant Wednesday, November 25, 2009
Wrap-up - Can be a bit of work - But can lead to amazing insights - Plus, data analysis & visualization is really fun Wednesday, November 25, 2009
Google Analytics Wednesday, November 25, 2009
Why? - It's free! - For a small company or project, much better than rolling out some of these analysis tools for yourself Wednesday, November 25, 2009
Signing up - http://analytics.google.com Wednesday, November 25, 2009
Integrating JS Insert before </body> Wednesday, November 25, 2009
Tip: Tracking JS events _trackevent function, takes (category, event, optional_key, optional_value) Wednesday, November 25, 2009
Using Web Optimizer - Attached to AdSense - Provides A/B testing tools with integrated confidence interval and significant different calculations Wednesday, November 25, 2009
Demo Wednesday, November 25, 2009
Final notes Wednesday, November 25, 2009

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