Abstract
Summary measures provide compact descriptions of one or more study variables. Summary measures include statistical properties, such as the mean and median of a distribution, and graphical presentations, such as histograms and box plots. For normally distributed data, 95% of the observations reside within two standard deviations of the mean value. The joint distribution of two continuous variables can be described graphically using scatter plots, or quantified using correlation, which indicates the tendency of larger values of one variable to match up with larger values of a second variable.
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Kestenbaum, B. (2019). Summary Measures in Statistics. In: Epidemiology and Biostatistics. Springer, Cham. https://doi.org/10.1007/978-3-319-97433-0_12
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DOI: https://doi.org/10.1007/978-3-319-97433-0_12
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