Statistics for Analytical Chemistry
This module will will integrate the understanding of the results of the analytical methods explored throughout this programme with statistical analysis required to report meaningful and reliable results. The module will look at the mathematics underlying calibration, validation and hypothesis testing.
Identify the requirements for the results of an analysis to be statistically significant
Estimate and improve accuracy by determining bias and precision of a method
Apply statistical methods for hypothesis testing, analytical method validation and proficiency testing
Apply regression to determine calibration factors and their uncertainty
Prepare quality control charts