Abstract Details
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Activity Number:
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550
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 6, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Consulting
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Abstract #311148
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View Presentation
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Title:
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Everyone Knows What a Histogram Is, or Do They?: How Non-Statisticians Read Histograms
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Author(s):
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Jennifer J. Kaplan*+ and John Gabrosek and Phyllis Curtiss and Christopher J. Malone
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Companies:
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University of Georgia and Grand Valley State University and Grand Valley State University and Winona State University
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Keywords:
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Abstract:
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Histograms are adept at revealing the distribution of data values, especially the shape of the distribution and any outlier values. They are the typical graph used by statisticians to display univariate quantitative data and are included in introductory statistics texts, research methods texts, and in the popular press, yet non-statisticians often have difficulty interpreting the information conveyed by a histogram. This talk will identify and discuss four common misconceptions associated with the reading of histograms. In addition it will present pre- and post-test results on an instrument designed to measure the extent to which the misconceptions persist after instruction. These misconceptions have implications for communication between statistical consultants and non-statisticians.
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Authors who are presenting talks have a * after their name.
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