Gosset part 2: small sample statistics

Scientific brewing at scale

Simulation was the key to to achieve world beer dominance. ‘Scientific’ Brewing at scale in the early 1900s Beer bottles cheers This post is an explainer about the small sample experiments performed by William S. Gosset. This post contains some R code that simulates his simulations1 and the resulting determination of the ideal sample size for inference. If you brew your own beer, or if you want to know how many samples you need to say something useful about your data, this post is for you. [Read More]

William Sealy Gosset one of the first data scientists

The father of the t-distribution

I think William Sealy Gosset, better known as ‘Student’ is the first data scientist. He used math to solve real world business problems, he worked on experimental design, small sample statistics, quality control, and beer. In fact, I think we should start a fanclub! And as the first member of that fanclub, I have been to the Guinness brewery to take a picture of Gosset’s only visible legacy there. W. [Read More]

Gosset part 2: small sample statistics

A NICE ONELINER HERE? This post is an explainer about the small sample experiment and determining the ideal sample size for inference. Economic perspectives and business logic Brewing beer at scale One of the problems William S. Gosset worked on was determining the quality of Malt. To brew beer you need 3 ingredients, yeast, hops and a cereal grain. You start with extracting the starch from the grain into water. [Read More]