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Not So Standard Deviations

Dec 17, 2015

In this episode Roger and Hilary discuss analyses that seem easy but are actually hard, like power/sample size calculations and A/B testing. Notes Roger's books on Leanpub (https://goo.gl/X0TFt9) KPIs (https://goo.gl/VO0ckP) Reply All (http://replyall.soy), a great podcast Use R! 2016 conference (http://user2016.org)...


Dec 2, 2015

Roger and Hilary open the mailbag for the first time and go over some feedback they've gotten on previous episodes. The rest of the time is spent discussing the importance of reproducibility in data analysis, both in an academic research setting and an industry setting. Notes Hilary's talk on reproducible analysis...


Nov 7, 2015

Hilary and Roger take on the statistical challenges in DevOps and the inherent difficulties of detecting rare anomalies in real time. But first Hilary schools Roger on what DevOps is. Also Ben and Jerry's. And the t-test. Notes: Nobody Loves Graphite Anymore (https://goo.gl/259VKI) A response: http://goo.gl/zB7wM9 Why...


Oct 25, 2015

At the suggestion of Roger's brother, this episode is all about Hilary and Roger. Well, really it's about their jobs. Hilary and Roger talk about the life of the data scientist in academia and in the tech industry and how it doesn't seem to be all that different....


Oct 2, 2015

In this episode, Hilary and Roger talk about user testing for statistical methods, navigating the Hadleyverse, the crucial significance of rename(), and the secret reason for creating the podcast (hint: it rhymes with "bee"). Also, Roger erroneously claims that Bill Cleveland is way older than he actually is....