Difference between covariance and correlation PCA.PCA – How it works, graphical explanation.Mapping Product Data using Principal Component Analysis (PCA).Multiple Comparison tests – gains and losses.Putting “significance” in its rightful place.Analysis of Variance (ANOVA) to test for significant differences in average liking between products.Testing Differences in Product Acceptability.Module 1 – The Basics (8 November 09:00 GMT) A 10% discount will be given to delegates who attended at least one of the modules of the “Hands On Analysis of Consumer Test Data from Product Tests using XLSTAT. If you are attending Module 1 we will send you a short basic statistics refresher to read before the module.įollowing soon after this training we are hosting two webinars on Preference Mapping using XLSTAT – 22 November and Preference Modelling using Partial Least Squares in XLSTAT – 29 November for product optimisation which complement the topics covered in these four modules. As in all our courses, mathematical details are kept to a minimum with emphasis placed on the application of techniques and understanding of the key statistical outputs. You can choose to book on all 4 modules (at a discounted price) or just choose the ones that are of most interest to you. The methods are illustrated using XLSTAT software. Each session is a mix of talks and practical workshops with solutions and interpretation of the output included to help you improve your analysis skills. This course is presented as four separate modules and covers the main techniques used for analysing data collected in Central Location (CLT) or Home Use (HUT) tests on products. Hands on Analysis of Consumer Data from Product Tests using XLSTAT
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