Univariate Data Analysis

Thomas Cleff
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Thomas Cleff: Pforzheim University

Chapter 3 in Exploratory Data Analysis in Business and Economics, 2014, pp 23-60 from Springer

Abstract: Abstract Let us return to our students from the previous chapter. After completing their survey of bread spreads, they have now coded the data from the 850 respondents and entered them into a computer. In the first step of data assessment, they investigate each variable – for example, average respondent age – separately. This is called univariate analysis. By contrast, when researchers analyze the relationship between two variables – for example, between gender and choice of spread – this is called bivariate analysis (see Sect. 3.4). With relationships between more than two variables, one speaks of multivariate analysis (see Sect. 5.3) (Fig. 3.1).

Keywords: Gini Coefficient; Lorenz Curve; Frequency Table; Univariate Parameter; Herfindahl Index (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-319-01517-0_3

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