Analysis of Variance Masterclass, Chicago April 16 2019

This one-day workshop gives you the opportunity to consider issues that we are sure you worry about from time to time in your everyday analysis of consumer and sensory test data. Our key tool is Analysis of Variance but this technique makes assumptions about the underlying distributions in our data – what are these assumptions and do they matter? We will also cover mixed models, repeated measures analysis, when and how it should be used and look at simple nested models.

Analysis of Variance Masterclass, 1-day Training

This one-day workshop gives you the opportunity to consider issues that we are sure you worry about from time to time in your everyday analysis of consumer and sensory test data.

Our key tool is Analysis of Variance, but this technique makes assumptions about the underlying distributions in our data – what are these assumptions and do they matter? Do you understand all the outputs that the software spills out? We will cover standard ANOVA, mixed model ANOVA, repeated measures analysis- when and how it should be used, nested models and models with covariates.

We will also discuss the over reliance on statistical significance in reporting data, the relevance (or not) of multiple comparison tests and alternative approaches that have been recently proposed.

The day will be carried out using the modelling functionality in XLSTAT

Perfiles de los capacitadores

Anne Hasted

Anne es asesora principal en Qi Statistics Ltd, una consultoría con sede en Reino Unido que ofrece una cartera completa de asistencia estadística a través de la formación, el análisis de datos, asesoría de proyectos y desarrollo de software. Es estadista colegiada con más de 25 años de experiencia en la asesoría de un amplio abanico de empresas. Ha impartido talleres de formación en todo el mundo y se la reconoce por proporcionar formación “dirigida a los usuarios”.
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