Episode Details

A Stanford Webinar presented by the Stanford Leadership and Management Science (http://stanford.io/2ppiCxy) and Decision Analysis (http://stanford.io/2pByYDC) graduate certificate programs
"Common Pitfalls of A/B Testing and How to Avoid Them"
Speaker: Ramesh Johari, Stanford University

Uploaded 16-05-17

A/B testing is the process of using randomized controlled experiments on a web page or technology platform to determine which of two versions has a higher conversion rate. While this method of testing has become ubiquitous, there remain some common traps to which even the most sophisticated data scientists fall prey.

Join Ramesh Johari, Associate Professor, Stanford Department of Management Science and Engineering, as he discusses some common practices and pitfalls in A/B testing.

You will learn:

-To analyze the output of A/B tests
-To balance quick results with statistical significance during continuous monitoring
-To maintain data integrity when running simultaneous experiments

About the Speaker:
Ramesh Johari is interested in the design and management of large-scale complex networks, such as the Internet. Using tools from operations research, engineering, and economics, he has developed models to analyze efficient market mechanisms for resource allocation in networks.

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