Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, With Applications in SPSS and R, 2nd Edition

AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND NATURAL SCIENCES

This revised and updated second edition of Applied  Univariate, Bivariate, and Multivariate Statistics: Understanding  Statistics for Social and Natural Scientists, with Applications in SPSS  and R contains an accessible introduction to statistical  modeling techniques commonly used in the social and natural sciences.  The text offers a blend of statistical theory and methodology and  reviews both the technical and theoretical aspects of good data  analysis.

Featuring applied resources at various  levels, the book includes statistical techniques using software packages  such as R and SPSS®. To promote a  more in-depth interpretation of statistical techniques across the  sciences, the book surveys some of the technical arguments underlying  formulas and equations. The second edition has been designed to be more  approachable by minimizing theoretical or technical jargon and  maximizing conceptual understanding with easy-to-apply software  examples. This important text:

• Offers demonstrations of statistical techniques using software packages such as R and SPSS®
• Contains examples of hypothetical and real data with statistical analyses
• Provides historical and philosophical insights into many of the techniques used in modern science
• Includes  a companion website that features further instructional details,  additional data sets, and solutions to selected exercises

Written for students of social and applied sciences, Applied Univariate, Bivariate, and Multivariate Statistics, Second Edition offers a thorough introduction to the world of statistical modeling techniques in the sciences.