Describing the Distribution of a Quantitative Variable

William H. Holmes () and William C. Rinaman ()
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William H. Holmes: Le Moyne College

Chapter 4 in Statistical Literacy for Clinical Practitioners, 2014, pp 87-125 from Springer

Abstract: Abstract This chapter reviews measures of central tendency and spread, and graphical techniques that are commonly used to describe the distributions of quantitative data. Included are the arithmetic mean and median; interquartile range, variance and standard deviation; skewness, kurtosis, and outliers; and histograms, stem-and-leaf plots, box plots, and clustered bar charts. The standard error of the mean and the 95 % confidence interval are described briefly. The chapter concludes with a discussion of transformations and the geometric mean.

Keywords: Histogram; Standard Deviation; Chart Builder; Moderate Physical Activity; Prostate-specific Antigen (PSA) (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-12550-3_4

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DOI: 10.1007/978-3-319-12550-3_4

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