Reading Statistical Graphs

Reading Statistical Graphs is the cognitive process of interpreting and extracting meaningful information from graphical representations of data, specifically distinguished by the ability to decode visual elements such as axes, scales, trends, and patterns in order to understand underlying statistical relationships and draw valid inferences.

25

Publications

1.7K

Citations

55

Authors

33

Institutions

Publications per year

2017–2026

9

Authors

55

  1. KA
    Kazuhiro Aoyama

    The University of Tokyo, Japan

    2 publications · 123 citations

    2

    h-index

  2. AS
    Andrew S.C. Rice

    Imperial College London, United Kingdom

    2 publications · 103 citations

    2

    h-index

  3. FC
    Fala Cramond

    University of Edinburgh, United Kingdom

    2 publications · 103 citations

    2

    h-index

  4. SN
    Susan N. Friel

    University of North Carolina at Chapel Hill, United States

    2 publications · 827 citations

    2

    h-index

  5. GW
    George W. Bright

    Northern Illinois University, United States

    2 publications · 827 citations

    2

    h-index

1–5 of 55

Venues

  1. Journal of Statistics Education

    JSE · 3 publications · 203 citations

    3

    h-index

  2. Wellcome Open Research

    2 publications · 103 citations

    2

    h-index

  3. International Electronic Journal of Mathematics Education

    IEJME · 2 publications · 87 citations

    2

    h-index

  4. Technometrics

    2 publications · 71 citations

    2

    h-index

  5. Teaching Statistics

    1 publications · 13 citations

    1

    h-index

1–5