Student's T Distribution

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Student's T Distribution – we would like to tell you a story!

William Gosset was an English statistician who worked for the brewery of Guinness. He developed different methods for the selection of the best yielding varieties of barley – an important ingredient when making beer. Gosset found big samples tedious, so he was trying to develop a way to extract small samples but still come up with meaningful predictions.

He was a curious and productive researcher and published a number of papers that are still relevant today. However, due to the Guinness company policy, he was not allowed to sign the papers with his own name. Therefore, all of his work was under the pen name: Student.
Later on, a friend of his and a famous statistician, Ronald Fisher, stepping on the findings of Gosset, introduced the t-statistic, and the name that stuck with the corresponding distribution even today is Student’s t.

The Student’s t distribution is one of the biggest breakthroughs in statistics, as it allowed inference through small samples with an unknown population variance. This setting can be applied to a big part of the statistical problems we face today and is an important part of this course.
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