Exploratory data analysis: Difference between revisions

Revision as of 00:01, 5 December 2006

Revision as of 12:19, 15 December 2006

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Tukey's books were notoriously opaque, and so several attempts were made to popularise his EDA ideas. Prominent among these was the [[Statistics in Society (MDST242)]] course of [[The Open University]].

Tukey held that too much emphasis in [[statistics]] was placed on evaluating and testing given [[hypothesis|hypotheses]] ([[confirmatory data analysis]]) and that the balance was in need of redressing in favour of using [[data]] to suggest [[hypothesis|hypotheses]] to test. In particular, confusion of the two types of analysis and employing them on the same set of data can lead to [[biassystematic (statistics)|bias]] owing to the issues endemic in [[testing hypotheses suggested by the data]].

The objectives of EDA are to: