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.

Learning Outcomes

  1. Identify the requirements for the results of an analysis to be statistically significant

  2. Estimate and improve accuracy by determining bias and precision of a method

  3. Apply statistical methods for hypothesis testing, analytical method validation and proficiency testing

  4. Apply regression to determine calibration factors and their uncertainty

  5. Prepare quality control charts

% Coursework 60%
% Final Exam 40%