April 2019
Beginner to intermediate
1240 pages
45h 43m
English
Content preview from Data Science for Business and Decision Making
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Chapter 4
Bivariate Descriptive Statistics
Abstract
This chapter discusses the main concepts of bivariate descriptive statistics (which involves two variables). Through tables, charts and/or summary measures, it is possible to describe the behavior of the variables. In the case of two qualitative variables, the associations between them can be studied through contingency tables and measures of association, such as, chi-square (for nominal and ordinal variables), Phi coefficient, contingency coefficient, and Cramer's V coefficient (all of them for nominal variables), and Spearman's coefficient (for ordinal variables). In the case of two quantitative variables, the correlations between them can be studied through joint frequency distribution ...
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