Statistical Graphics for Univariate and Bivariate Data

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Statistical Graphics for Univariate and Bivariate Data

William G. Jacoby - Michigan State University, USA, University of South Carolina, Colombia

Volume: 117

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research (General)

April 1997 | 104 pages | SAGE Publications, Inc

Description
Contents

Graphical displays that researchers can employ as an integral part of the data analysis process are frequently more revealing than traditional, numerical summary statistics. Providing strategies for examining data more effectively, this volume focuses on: univariate methods such as histograms, smoothed histograms, univariate scatterplots, quantile plots, box plots, dot plots; and bivariate methods such as scatterplot construction guidelines, jittering for overplotted points, marginal boxplots, scatterplot slicing, the loess procedure for nonparametric scatterplot smoothing, banking to 45 degrees for enhanced visual perception.

Introduction

Graphical Displays for Univariate Data

Graphical Displays for Bivariate Data

Conclusions

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