Level of education
Master's degree
ECTS
2 credits
Training structure
Faculty of Science
Description
Provide students with the theoretical understanding of inferential statistics necessary for the statistical analysis of data from sensory tests. General issue: extract interpretable patterns from sensory measurements in order to make the right decisions.
The lessons will cover the requirements of each course, using relevant examples and applications.
Hourly volumes*:
CM: 10 AM
Practical work: 10 hours
Objectives
Be able to conduct statistical analysis, hypothesis testing, and multivariate data analysis.
Teaching hours
- Evaluations and statistics applied to sensory analysis - Practical workPractical work10 a.m.
- Evaluations and statistics applied to sensory analysis - CMLecture10 a.m.
Mandatory prerequisites
M1 ICAP Flavors and Fragrances or M1 ICAP Cosmetics
Knowledge assessment
60% Final exam (2 sessions), 40% Practical work (written)
Syllabus
Course:
- Data sources and specific issues in sensory analysis.
- Processing of data from discriminative tests
Statistical hypothesis and interpretation
III. Processing of data from descriptive tests
Graphical representations of data
Parametric and non-parametric tests
Multidimensional analyses
- Specific features of certain sensory tests
Practical work: Apply the concepts studied in class using examples tailored to each course.
Additional information
Teaching team:
Sophie Tempère