Sensory Evaluation – Statistical Methods and Interpretation, Nottingham

This four day intensive course, as part of the Short Courses in Sensory Science series, run by the University of Nottingham, takes delegates through some of the fundamental theory behind the statistical analysis of sensory data. Starting with univariate techniques and moving through to multivariate analysis, the course highlights important issues for
the application and interpretation of statistical techniques. Delegates will gain a deeper understanding of the routine techniques used to analyse sensory and consumer data, but also the consequences of making particular choices and hence develop confidence in the analysis and interpretation of sensory data.
Through the use of lectures and a series of practical activities delegates gain hands on experience of data analysis and the range of sensory and statistical packages available.

Course Content
 Analysis of difference and similarity tests.
 Univariate statistics, including analysis of variance
 Multivariate statistics, including Principle Component Analysis (PCA) and Multiple Factor Analysis (MFA)
 Analysis of Check All that Apply (CATA) data and Correspondence Analysis (CA)
 Cluster analysis and preference mapping.

The course is taught by Anne Hasted, who is an honorary associate Professor at Nottingham University.

Full details and booking are available on the Nottingham University website at this link: https://www.nottingham.ac.uk/biosciences/study/cpd/sensory-science.aspx