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Applied Univariate, Bivariate, & Multivariate Stat istics: Understanding Statistics for Social and Na tural Scientists, With Applications in SPSS and R (Hardcover, 2nd Edition)
Loot Price: R2,986
Discovery Miles 29 860
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Applied Univariate, Bivariate, & Multivariate Stat istics: Understanding Statistics for Social and Na tural Scientists, With Applications in SPSS and R (Hardcover, 2nd Edition)
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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(R). 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(R) 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.
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