Evaluations and statistics applied to sensory analysis

Provide students with the theoretical understanding of inferential statistics needed for the statistical analysis of sensory test data. General problem: extract interpretable regularities from sensory measurements in order to make the right decisions.

The lessons will cover the needs of each pathway, using appropriate examples and applications.

Hourly volumes* :

            CM: 10 H

            PRACTICAL WORK: 10H

Be able to conduct statistical analysis, hypothesis testing and multivariate data analysis.

M1 ICAP Flavors and Fragrances or M1 ICAP Cosmetics

60% Final exam (2 sessions), 40% Practical (written)

Course:

1. Data origins and specific sensory analysis issues.

1. Processing data from discriminative tests

Statistical hypothesis and interpretation

III. Processing data from descriptive tests

Graphical representation of data

Parametric and non-parametric tests

Multidimensional analysis

1. Specific features of certain sensory tests

Practical work: Apply the concepts studied in class with examples adapted to each course.

Teaching team:
Sophie Tempère