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Mar 29, 2017 · The right image shows how the data we are going to use for MSW looks like. The second image shows 4 plots, each one for a different combination of variance and expectancy for the groups while. The first row of plots is for low variance, while the second row is for high(er) variance.
- Personally, I like introducing linear regression and ANOVA by showing that it is all the same and that linear models amount to partition the total...
- How about something like this? Following Crawley (2005). Statistics. An introduction using R: Wiley.
- Thank you for your great answer so far. While they where very enlightening, I felt that using them for the course I am currently teaching (well, TA...
- Since we gather certain types of nice graphs in this post, here is another one that I recently found and may help you understand how ANOVA works an...
- Check out Hadley Wickham's presentation ( pdf , mirror ) on ggplot. Starting on pages 23-40 of this document he describes an interesting approach t...
- Great question. You know, I've struggled myself with wrapping my head around ANOVA for a very long time. I always find myself going back to the "be...
- Here are some representations of situations in which an ANOVA will conclude to different level of fit between $Y$ and $X$.
- To illustrate what is going on with one-way ANOVA I have sometimes used an applet offered by the authors of "Introduction to the Practice of Statis...
- It seems the ship has already sailed in terms of an answer, but I think that if this is an introductory course that most of the displays offered he...
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ANOVA, or (Fisher’s) analysis of variance, is a critical analytical technique for evaluating differences between three or more sample means from an experiment. As the name implies, it partitions out the variance in the response variable based on one or more explanatory factors.