Courses / Module

The first part of this course will involve an introduction to statistical analysis for analytical chemistry. Students will be introduced to the importance of statistical analysis of analytical data. In the workshop, they will interpret data sets using statistical tests to quantify data quality, compare sets of data, fit models to data sets and apply computer packages to analysis of data sets. Students will also develop skills in the statistical analysis of real world analytical chemistry data through case studies and develop an awareness of Total Quality Management in chemical industry.

Indicative content:

Regression Analysis
Regression Analysis using the Built-in Options of Microsoft Excel - error bars - analysis of residuals plots - quantitative comparison of different models Regression Analysis using Solver
- comparison of built-in versus user defined models - avoiding distortion of data - application to enzyme kinetics Transfer of Instrumental Data to Microsoft Excel
use of ASCII files Filtration and Differentiation of Instrumental Data
- moving average smoothing - Savitzky-Golay Filter - differentiation of filtered data Significance Testing using Microsoft Excel
- t-test - F-test - Chi-squared, Chi-squared - ANOVA

Course participants will be invited to bring along their own data and apply the methods taught in this class to their individual data sets before the end of the course.

This is a DRHEA module which is delivered externally in DCU. These courses change from year to year. Check the website http://www.drhea.ie/disciplines.php?page=62&modules=on and register with the contact person listed there.