Lectures: 12 h

Objectives

This course aims at the acquisition of the chemometric tools required for the rational design of experiments and allowing an optimal processing of the results. A special care is brought to the links between statistical conclusions, their physico-chemical interpretation and resulting practical conclusions.

Syllabus

1. Oneway ANOVA (Analysis of Variance)
   
   
   • Principle and purpose
     
   • Statistical tests
     
   • ANOVA table and interpretation
     
   • Case studies
   
   
2. Linear regression
   
   
   • Principle and purpose
     
   • Regression statistics
     
   • Confidence and prediction hyperbols
     
   • Model matching
     
   • Case studies
   
   
3. Designs of experiments
   
   
   • Principle and purpose
     
   • 2ⁿ factorial designs
     
   • Significance of effects
     
   • 2^n-p fractional factorial and screening designs
     
   • Response surface designs

Requirements : Applied Statistics course.

Evaluation mechanism : Two hours and written examination (including the evaluation of Applied statistics).

Last Modification : Wednesday 31 May 2017