Statistical Analysis of Laboratory Data presents the theory and application of statistics, including outlier testing, calibration, t-tests, F-tests, one-way ANOVA, specification testing, sampling, interlaboratory testing, statistical process control, calibration, and exploratory data analysis.
The normally three-day course can be given as an abbreviated two-day course for organizations with limited, specific needs.
A graphic from the course: finding areas under a Gaussian distribution.
