Presenting statistical results effectively / Robert Andersen and David A. Armstrong II.

Includes bibliographical references and index.

Some foundation -- General principles of effective presentation -- Best practices for graphs and tables -- Methods for visualizing distributions -- Exploring and describing relationships -- The linear model -- The linear regression model -- Assessing the impact and importance of multi-category explanatory variables -- Identifying and handling problems in linear models -- Modelling and presentation of curvilinear effects -- Interaction effects in linear models -- The generalized linear model and extensions -- Generalized linear models -- Categorical dependent variables -- Conclusions and recommendations.

"Perfect for any statistics student or researcher, this book offers hands-on guidance on how to interpret and discuss your results in a way that not only gives them meaning, but also achieves maximum impact on your target audience. No matter what variables your data involves, it offers a roadmap for analysis and presentation that can be extended to other models and contexts. Focused on best practices for building statistical models and effectively communicating their results, this book helps you: - Find the right analytic and presentation techniques for your type of data - Understand the cognitive processes involved in decoding information - Assess distributions and relationships among variables - Know when and how to choose tables or graphs - Build, compare, and present results for linear and non-linear models - Work with univariate, bivariate, and multivariate distributions - Communicate the processes involved in and importance of your results"-- Provided by publisher.