Data Exploration, Descriptive Statistics, and Measures of Central Tendency

Thomas W. MacFarland and Jan M. Yates
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Thomas W. MacFarland: Nova Southeastern University Fort Lauderdale, Senior Research Associate, Office of Institutional Effectiveness
Jan M. Yates: Nova Southeastern University Fort Lauderdale, Professor Emerita, Abraham S. Fischler College of Education

Chapter Chapter 2 in Using R for Biostatistics, 2021, pp 57-139 from Springer

Abstract: Abstract This lesson provides a demonstration of descriptive statistics, measures of central tendency, and graphical presentation of data, which are essential before any inferential statistical analyses are conducted. Initial efforts should be placed on data exploration, and specifically, the use of descriptive statistics and measures of central tendency (e.g., mode, median, mean, standard deviation, etc.). A complete summary of descriptive statistics is presented in this lesson, both for factor-type object variables and numeric object variables of an interval or continuous nature. An initial summary of graphical presentations available through R is provided, with emphasis on fully-embellished, publishable quality graphics deferred until later lessons.

Keywords: Barplot; Boxplot (box-and-whiskers plot); Boxplot statistics; Data exploration; Density plot; Descriptive statistics; Dotchart; Histogram; Interquartile range (IQR); Length; Maximum; Maximum location; Mean; Measures of central tendency; Median; Minimum; Minimum location; Mode; Quantile-quantile (Q-Q; QQ) plot; Quartiles; Range; Scatter plot; Sort; Standard deviation; Stripchart; Sum; Summary; Trimmed mean; Tukey’s five number summary; Variance; Violin plot; Winsor mean (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-030-62404-0_2

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