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Activity Number:
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546
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Graphics
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| Abstract - #308486 |
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Title:
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Generating Data with Identical Statistics but Dissimilar Graphics: A Follow-Up to the Anscombe Dataset
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Author(s):
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Sangit Chatterjee*+ and Firat Aikut
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Companies:
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Northeastern University and Northeastern University
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Address:
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16 Moraine Street, Boston, MA, 02130,
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Keywords:
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Ortho-normalization ; Genetic Algorithms ; Non-linear Optimization
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Abstract:
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The Anscombe dataset (1973) is popular for teaching the importance of graphics in data analysis. It consists of four datasets that have identical summary statistics (e.g., mean, standard deviation, and correlation) but dissimilar data graphics (scatter plots). In this paper, we provide a general procedure to generate datasets with identical summary statistics but dissimilar graphics by using a genetic algorithm-based approach.
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