Abstract: Two-sample hypothesis testing is a common practice in many fields of science, where the goal is to identify whether a set of observations and a set of training data are drawn from the same ...

The iQRM Warm-Ups are short, half hour sessions that review the basics covered in iQRM. This is a tour of the foundational math without application. The seminar covers probability, the normal ...

Analysis of variance (ANOVA) is a statistical analysis tool that separates total variability found within a data set into two components: random and systematic factors.

Drug discovery scientists develop and test complex hypotheses using data and expertise, and build workflows to support this. In this third and final article, Dr Raminderpal Singh and Nina Truter ...

Mathematics is crucial in data science as it underpins algorithms and models used for data analysis and prediction. It helps understand data patterns, optimize solutions, and make informed decisions.