Introduction

Statistical Methods for Life Sciences

This session introduces probability as a framework for understanding variation in experimental data. We cover random variables, events and basic probability rules, continuous and discrete probability models, and commonly used distributions. We then use simulation and resampling to explore probabilities and sampling distributions, before introducing the standard error, precision, and the connection between the normal and t-distributions as a foundation for statistical inference.