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

講師プロフィール

Anne Hasted

Anne氏は、イギリスに拠点を置くコンサルタント会社で、トレーニング、データ解析、プロジェクト支援、ソフトウェア開発を通して統計に関するサポートのフル・ポートフォリオを提供する Qi Statistics Ltd,のシニア・コンサルタントです。彼女は、幅広い企業で25年以上のコンサルティング経験を持つ公認の統計家です。彼女は、ワールドワイドにトレーニング・ワークショップを開催し、“ユーザー・フレンドリーな” トレーニングを提供することで知られています。
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