Anscombe's Quartet
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Anscombe''s quartet comprises four datasets that have identical simple statistical properties, yet appear very different when graphed. Each dataset consists of eleven (x,y) points. They were constructed in 1973 by the statistician F.J. Anscombe to demonstrate both the importance of graphing data before analyzing it and the effect of outliers on statistical properties. The first one (top left) seems to be distributed normally, and corresponds to what one would expect when considering two variables correlated and following the assumption of normality. The second one (top right) is not distributed normally; while an obvious relationship between the two variables can be observed, it is not linear, and the Pearson correlation coefficient is not relevant. In the third case (bottom left), the distribution is linear, but with a different regression line, which is offset by the one outlier which exerts enough influence to alter the regression line and lower the correlation coefficient from 1 to 0.81.
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GarantieWeitere Informationen
- Allgemeine Informationen
- GTIN 09786131702372
- Genre Elektrotechnik
- Editor Frederic P. Miller, Agnes F. Vandome, John McBrewster
- Anzahl Seiten 64
- Größe H220mm x B220mm
- EAN 9786131702372
- Format Fachbuch
- Titel Anscombe's Quartet
- Herausgeber Alphascript Publishing
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