
This is old hat for most of us, but I like the Quartet for its simplicity and visual impact.
These data and graphs were first presented by F.J. Anscombe in 1973 in his paper Graphs in Statistical Analysis. It is quite fun reading over the paper, which ends:
Unfortunately, most persons who have recourse to a computer for statistical analysis of data are not much interested either in computer programming or in statistical method, being primarily concerned with their own proper business. Hence the common use of library programs and various statistical packages. Most of these originated in the pre-visual era. The user is not showered with graphical displays. He can get them only with trouble, cunning, and a fighting spirit. It's time that was changed.Thank goodness for Matlab.
The data (coded for Matlab)
x1=[10 8 13 9 11 14 6 4 12 7 5];
x2=x1;
x3=x1;
x4=[8 8 8 8 8 8 8 19 8 8 8];
y1=[8.04 6.95 7.58 8.81 8.33 9.96 7.24 4.26 10.84 4.82 5.68];
y2=[9.14 8.14 8.74 8.77 9.26 8.1 6.13 3.1 9.13 7.26 4.74];
y3=[7.46 6.77 12.74 7.11 7.81 8.84 6.08 5.39 8.15 6.42 5.73];
y4=[6.58 5.76 7.71 8.84 8.47 7.04 5.25 12.5 5.56 7.91 6.89];
4 comments:
Cool.
Reminds me of this post & discussion (some while ago) on Cosmic Variance, which became quite a hoot.
whoops. link:
http://cosmicvariance.com/2007/07/13/the-best-curve-fitting-ever/
Derek: that's a great example of statistics abuse!
it's nice to see you blogging away still.
On an unrelated note, I am finding this site to have a lot of interested reading...
www.treehugger.com
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