A common testing mistake: A/B testing for multiple factors
In a previous blog post, we highlighted some key rules to consider when implementing a valid A/B test. The strength of A/B testing lies in its simplicity and in its ability to identify changes in...
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In a couple of recent blog posts we highlighted some of the best practices to keep in mind when implementing an A/B test, as well as a common misuse of A/B testing that too many practitioners...
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Statistical significance in a testing world
Statistically significant is a phrase that many people throw around to add a little gravitas to their arguments, but I often wonder how many of these people actually understand what this phrase means....
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The importance of random sampling in statistical experiments
With data and analytics proving to be a vital asset across business verticals today, it is becoming increasingly necessary for personnel to strengthen their analytical know-how. As a statistician, it...
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Marketing with predictive analytics – Understanding model over fitting
Marketers rely on data and analytics to ensure they are equipped with the best insights to stay relevant in today’s digital world. So of course it’s important for marketers to master analytical skills...
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