Anscombe's quartet
Four data sets with the same descriptive statistics, yet very different distributions
Nº Q2554672 ★
Common · Knowledge
Anscombe's quartet
Four data sets with the same descriptive statistics, yet very different distributions
Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed. Each dataset consists of eleven (x, y) points.
Last price
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Floor price
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7-day median
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30-day sales
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30-day range
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In circulation
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Price history
median
low – high
sales
No sales in this period
Show table
| Date | median | Low | High | sales |
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Sales history
- Last sale
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- 30-day average
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- 30-day low
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- 30-day high
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- Sales 7d
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- Sales 30d
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No sales yet.
Anonymous sales: no buyer or seller shown. Figures count player-to-player sales only.
From Wikipedia
Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed. Each dataset consists of eleven (x, y) points. They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance of graphing data when analyzing it, and the effect of outliers and other influential observations on statistical properties. He described the article as being intended to counter the impression among statisticians that "numerical calculations are exact, but graphs are rough".
Text: Wikipédia, CC BY-SA 4.0. · Image: Anscombe.svg: Schutz (label using subscripts): Avenue (CC BY-SA 3.0) ·
