Normal, Mean, and Deviant: Basic Statistics for Testing - Amber Race

03 Apr 2019
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Amber Race's profile
Amber Race

Staff SDET

Normal, Mean, and Deviant: Basic Statistics for Testing - Amber Race thumbnail
Talk Description
Are you in the proper mode to find your median, or do you just feel mean? Whether you are trying to judge if your application is ready for the Christmas shopping season or validating a machine learning algorithm, an understanding of statistics can help you be a more effective tester. In this talk, Amber will draw on nearly 20 years of experience with testing everything from handwriting recognition algorithms to high volume game APIs to show how a few basic statistical concepts can move your testing beyond just average.
Amber Race
Staff SDET
she/her

After majoring in Asian Studies, teaching in Japan, and travelling the world, Amber happened into software testing and has been loving it ever since. She has more than 25 years of testing experience at Adobe, Big Fish and Microsoft, doing everything from manual testing to tools development. She currently specialises in front-end test automation frameworks for large scale web applications.

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