Comparing groups

One common task in statistical analysis is to compare groups; for example, we may be interested in how well a patient responds to some drug, the reduction of car accidents by the introduction of a new traffic regulation, or students' test responses under different teaching approaches, and so on. Sometimes this type of question is framed under the hypothesis-testing scenario, with the goal of declaring a result statistically significant. Relying only on statistical significance can be problematic for many reasons: on one hand, statistical significance is not necessarily practical significance; on the other, a really small effect can be declared significant just by collecting enough data. Also, the idea of statistical significance ...

Get Bayesian Analysis with Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.