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Hands-on Sensory Statistics 2021 – Online session 1 of 4

February 16 @ 5:30 pm - February 17 @ 3:00 am


Statistical Analysis of Sensory Data collected from Sensory Panels  using XLSTAT SENSORY and EyeOpenR

Sensory characterization of products has traditionally been collected from trained sensory panels, there is now an increasing use of “rapid methods” of data collection that do not require training. This course covers analysis of data from both sources. We assume only very basic statistical knowledge and there is a refresher session at the beginning to remind you of the basics.

The course uses XLSTAT SENSORY and EyeOpenR, as part of the course fee you will be given a complimentary licence to EyeOpenR software for 1 year.

Topics covered:

  • Analysis of Variance review, standard errors, multiple comparison tests
  • The Mixed model for sensory data, assumptions and problem data
  • Panel Performance using ANOVA, the MAM model and simple multivariate methods
  • Principal Component Analysis – how it works, interpretation of plots, covariance v correlation. Visualisation of sample differences, interpretation of maps
  • Canonical Variates Analysis – a technique that better displays product differences v panel variation
  • Rapid methods of data collection, Free Sorting Tasks and Napping, guidance in design and approaches to analysis.
  • Relating sensory to instrumental/consumer liking 1: Simple regression modelling, variable selection. Modelling curvature, limitations.
  • Relating sensory to instrumental/consumer liking 2: Partial Least Squares Regression, How it works, guidance in model building.

Session 1 of 4

Quick Stats Refresher: Precision of means, standard errors and confidence intervals, Least Significant Difference (LSD). Statistical significance, what it measures and what it does not measure.

Analysis of Variance of Sensory Panel Data using mixed models, multiple comparison tests. Assumptions and problem data. XLSTAT Product Characterisation.


February 16 @ 5:30 pm
February 17 @ 3:00 am
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