Chromatography is a technique used by scientists throughout all disciplines; many different separation techniques exist, each catered to a specific type of analyte. That’s because the principle behind it is simple, separate a mixture of compounds based on their physical or chemical properties. These techniques can be very broadly classified by their ‘mobile phase’, either liquid or gas.
One thing that regularly stumps scientists is the handling of data. We seem to be very good at generating obscene amounts of it, but representing it meaningfully can be a little off putting if you don’t happen to be a bioinformatician. In previous tutorials we looked at hypothesis testing using variations of the t-Test, and we continue the series by comparing more than 2 samples sets with ANOVA.