May 2019
Beginner to intermediate
274 pages
11h 1m
English
This chapter describes techniques for visualizing and quantifying bivariate and multivariate statistical data. Visualization techniques such as joint contingency tables, scatter plots, 2D histograms and line graphs are introduced. Numerical measures presented include covariance and correlation (both Pearson's and Spearman's correlation coefficients). The chapter describes how predictions of one variable can be made using knowledge of a second variable, based on regression analysis. Techniques for fitting best-fit straight lines and nonlinear curves are presented. Finally, Bland–Altman analysis is introduced as a way of visualizing the limits of agreement ...
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