Univariate Data Analysis

Thomas Cleff ()
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Thomas Cleff: Pforzheim University of Applied Sciences

Chapter Chapter 3 in Applied Statistics and Multivariate Data Analysis for Business and Economics, 2025, pp 33-78 from Springer

Abstract: Abstract This chapter introduces univariate data analysis, focusing on the first steps of examining individual variables within a data set. It covers various methods of summarizing and visualizing data, including frequency tables, bar charts, pie charts, and histograms. The chapter also explores key statistical measures such as central tendency (mean, median, mode), dispersion (range, variance, standard deviation), skewness, and kurtosis. It emphasizes the importance of selecting and interpreting these measures correctly to avoid misrepresentation of data. Practical examples and graphical representations are used throughout to illustrate the concepts. The chapter also covers calculating univariate parameters using statistical software including R, SPSS, Stata, and Excel.

Keywords: Frequency tables; Mean; Median; Mode; Variance; Standard deviation; Skewness; Kurtosis; Histogram; Bar chart; Pie chart; Boxplot; Measures of concentration (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-031-78070-7_3

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DOI: 10.1007/978-3-031-78070-7_3

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