Analysis of Variance - ANOVA

Free webinar

Analysis of Variance - ANOVA




ANOVA is a popular statistical modeling feature. It is used to explain dependent quantitative variables using one or several qualitative explanatory variables called factors.

Table of contents

  • XLSTAT: who are we?
  • Statistics: families of tools
  • Reminder: Statistical Testing and Statistical Modeling
  • What is Analysis of Variance or ANOVA?
  • Assumptions about residuals
  • Multiple Pairwise comparisons
  • The Kruskal-Wallis test: a non-parametric equivalent for the 1-way ANOVA
  • 2-way ANOVA & interaction effect

Video Recording

Writer profil

Jean-Paul Maalouf

Senior statistics consultant

Jean-Paul Maalouf is a senior statistics consultant who joined the Addinsoft team in 2014. He holds a PhD in biology and has extensive experience in teaching statistics, which he has been doing intensively since 2012. He has taught at the largest French research institutions (INRA, CNRS, INSERM, CIRAD, several universities), as well as at private companies around the world. His teaching methods are based on a conceptual approach and are more focused on concrete examples than on the explanation of complex mathematical formulas. The concepts are thus easily grasped by people who do not necessarily have a background in mathematics but wish to become quickly operational in the field of data analysis.

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