This course teaches the basic approaches to the assessment of chemical data. The statistics of the normal distribution and the Central Limit Theorem allow calculation of confidence intervals on repeated measurement results. Hypothesis testing is used to determine the significance of data under hypotheses. Analysis of variance (ANOVA) is explained and its use in determining significant effects in experiments. How to set up a calibration is described and errors associated with calibrations are evaluated. Experimental design to determine significant variables and then to optimise systems are covered.
The practical part of the course consists of analysis of data sets in a spreadsheet environment.