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An R Companion for Applied Statistics I: Basic Bivariate Techniques breaks the language of the R software down into manageable chunks;
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An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques breaks the language of the R software down into;
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examples in SPSS, together with datasets on an accompanying website. A companion study guide reproducing the exercises and examples in R will also;
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The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some;
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The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some;
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. Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition is broken into two parts. Part I;
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An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied;
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Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;
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of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS;
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Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R;
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Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R;
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and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters;
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statistics or R, Statistics (The Easier Way) with R is also suitable as a supplement for any undergraduate course in introductory or applied;
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applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied;
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and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses;
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and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses;
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Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple;
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Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple;
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is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations;
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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;
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This book should be of interest to senior undergraduate and postgraduate students of applied statistics.;
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Using IBM (R) SPSS (R) Statistics for Research Methods and Social Science Statistics is the perfect companion for students who are learning;
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Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied;
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provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules;
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Now in its Fifth Edition, William Wagners Using SPSS for Social Statistics and Research Methodshas come;
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Fundamentals of Applied Econometrics is designed for an applied, undergraduate econometrics course providing students with an understanding;
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This set contains: 9780471469438 Regression and ANOVA: An Integrated Approach Using SAS(R) Software by Keith E. Muller, Bethel A. Fetterman;
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