Quality control of the analytical process

About this programme

This course covers data visualization and characterization of collected data, basic statistics for hypothesis testing, quantification and method validation. The course also covers material from the fundamentals of statistical tests to application in analytical method validation and modelling. The gained knowledge is applied throughout the course in mini projects. Additionally, the course content serves as bases for data analysis in the following courses in the Master Program in Analytical Chemistry. The course features lectures, workshops, computer lab work, oral and written presentation of scientific work within the following subjects: Different statistics for average and spread, plotting data (scatter plot, histogram, box-plot, etc.), distributions (uniform distribution, normal distribution, t-distribution, etc.), central limit theorem. Type I and II error, p-value, t-test, and F-test, analysis of variance. Regression analysis for quantification and modeling: residuals, significance testing, slope and interpretation, calculating the concentration, lack-of-fit, goodness-of-fit, multilinear regression, robust regression. Precision, trueness, accuracy, uncertainty, different validation guidelines, quality control, and accreditation. Course Coordinator Anneli Kruve, email: anneli.kruve@su.se Chemistry Section & Student Affairs Office: chemistry@su.se To follow your passion. To be close to international career opportunities. To explore city and countryside. In Stockholm you can really get the best of both worlds.