Transferable Skills Course: Statistical Literacy

Enables Life Scientists to Understand the Purpose and Uses of Classical Statistics as an Integral Part of the Scientific Method

The course is now full. Please email kelleher@molgen.mpg.de to get on the waiting list.

Topics covered:

Good experimental design and sources of bias.
Systematic versus random error.
The distinction between samples and populations.
The most appropriate ways to describe samples.
Estimation and the principle of hypothesis testing.
The Standard Error of the Mean and confidence intervals.
Understanding and reporting uncertainty.
Power, Type I and type II errors.
Standard parametric tests and their interpretations, including p-values, test statistics and associated distributions.