Having a good understanding of statistics is vital for Biologists designing and analysing their own experiments.
To get you started, this webinar covers the general concepts behind hypothesis testing workflows, including summary statistics, null and alternative hypotheses, and p-values. We focus specifically on what you should pay attention to when you interpret results from a biostatistical analysis. We're using gene expression as an example, and work with visuals rather than equations, to make the topic accessible to a broader audience.
This webinar was given by Sarah Kaspar from the Centre for Statistical Data Analysis, EMBL.