Abstract
Abstract We often forget how science and engineering function. Ideas come from previous exploration more often than from lightning strokes. Important questions can demand the most careful planning for confirmatory analysis. Broad general inquiries are also important. Finding the question is often more important than finding the answer. Exploratory data analysis is an attitude, a flexibility, and a reliance on display, NOT a bundle of techniques, and should be so taught. Confirmatory data analysis, by contrast, is easier to teach and easier to computerize. We need to teach both; to think about science and engineering more broadly; to be prepared to randomize and avoid multiplicity. Key Words: Exploratory data analysisConfirmatory data analysisParadigms of science and engineeringSources of ideasRandomizationMultiplicity
Keywords
Confirmatory factor analysisData scienceFlexibility (engineering)Computer scienceExploratory analysisContrast (vision)PsychologyArtificial intelligenceMathematicsMachine learningStructural equation modelingStatistics
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Publication Info
- Year
- 1980
- Type
- article
- Volume
- 34
- Issue
- 1
- Pages
- 23-25
- Citations
- 458
- Access
- Closed
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Cite This
John W. Tukey
(1980).
We Need Both Exploratory and Confirmatory.
The American Statistician
, 34
(1)
, 23-25.
https://doi.org/10.1080/00031305.1980.10482706
Identifiers
- DOI
- 10.1080/00031305.1980.10482706