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30-Day Money-Back Guarantee
Business Business Analytics & Intelligence A/B Testing

Optimization & A/B Testing Statistics

Speed up your a/b tests by doing it right from the start.
Rating: 4.3 out of 54.3 (159 ratings)
1,513 students
Created by Jared Waxman
Last updated 11/2013
English
English [Auto]
30-Day Money-Back Guarantee

Description

Whether you've got a lean startup or a fat Fortune 500, the faster you learn the faster you'll grow.  Optimization and a/b testing is at the heart of learning fast.

I guarantee you will learn something in this course that will raise your skill level.  With the 30-day money-back guarantee, you can't lose. 

We start with the basics, then cover the 8 steps of running a solid a/b test.  Next we dive deep into the statistics behind hypothesis testing.  In the long-run you will save your organization headaches by setting up tests correctly and analyzing them with the right statistical rigour. 

There is double and triple digit ROI around optimization for companies that figure it out.  Start now and impress your colleagues on Monday morning.

Topics include:

Examples of a/b tests

Hypothesis testing

Measurement as risk reduction

Selecting a KPI or success metric

8 Steps for Running an A/B Test

Selecting from amongs a/b test and MVT test designs

Lift Threshold

Null Hypothesis

Statistical significance

Sample size estimates

confidence interval

test statistic

t-tests

standard error of the mean

chi-square

Fischer Exact test

Statistical Power

Type I error

Type II error

p-values

How to choose what statistical test to run

Course content

5 sections • 21 lectures • 2h 48m total length

  • Preview01:54
  • Preview03:32
  • Preview03:53
  • Preview04:59
  • Correlation & Causation
    10:17

  • Select the KPI
    16:55
  • Multiple KPIs
    12:33
  • Test Designs
    06:07
  • Measurement
    09:33

  • 8 Steps to A/B Testing
    08:11
  • Step 1 In Depth
    06:16
  • Step 2 In Depth
    11:17
  • Step 3 In Depth
    04:53

  • One Sample T-Test
    04:25
  • Two Sample T-Test
    07:37
  • Standard Error & Confidence Intervals
    14:28
  • Select Stat Test (part 1)
    06:57
  • Select Stat Test (part 2)
    10:47
  • Chi Square (part 1)
    09:59
  • Chi Square (part 2)
    05:29

  • Conclusion
    08:34

Instructor

Jared Waxman
The Marketer's Mythbuster: A/B Testing & beyond
Jared Waxman
  • 4.3 Instructor Rating
  • 159 Reviews
  • 1,830 Students
  • 1 Course

Jared Waxman works at Yahoo! in Sunnyvale CA where he serves as Senior Director of Growth.

Previously he worked for Adobe in San Jose CA, where he served as Group Manager for Online Optimization & Analytics for Adobe.

In his nearly twenty years of experience in Silicon Valley where he gained experience in website optimization, web analytics, and growth hacking he has been on both the tools-side and the client-side, beginning as Director of Product Management for Alexa Internet's web measurement division, before working with Amazon and Intuit. He holds a Bachelors of Science from Yale University.

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