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Hands-on Sensory statistics – Online session 2 of 4

February 18 @ 7:30 am - 5:00 pm

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 2  

    Principal Component Analysis(PCA). How it works, difference between covariance and correlation based analysis. Which numerical outputs are useful. Interpretation of graphics, supplementary variables and observations.

    Canonical Variates Analysis (CVA) – for showing sample differences relative to panel variation

Details

Date:
February 18
Time:
7:30 am - 5:00 pm
Event Category:
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Venue

Online

Organiser

QI Statistices
Phone:
+44(0)1189345722
Email:
askqi@qistatistics.co.uk
View Organiser Website