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Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data;
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A Proven Guide for Easily Using R to Effectively Analyze Data Like its bestselling predecessor, A Handbook of Statistical Analyses Using R;
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Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data;
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A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses;
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A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses;
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software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;
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software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;
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Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description;
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Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using SAS, Third Edition continues to provide a straightforward description;
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software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;
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software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;
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reference guide for elementary and intermediate statistical analyses using the free/public software package known as "R." The expectations for;
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understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their;
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Provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers using IBM SPSS;
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A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate;
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multiple examples using R to achieve results, and concludes with a case study. Written by Matt and Joshua F. Wiley, Advanced R Statistical;
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A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;
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A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers;
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soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has;
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soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has;
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market. The second edition of A Handbook of Statistical Analyses Using S-Plus has been completely revised to provide an outstanding;
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Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression;
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statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced;
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statistical procedures, and a focus on conducting analyses using R make the text a unique contribution to the power literature. To facilitate;
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area. In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding;
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comfortable creating, editing, and using data sets in R to produce original statistical analyses for evaluating causal claims. End-of-chapter;
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explaining appropriate statistical methods for the problems at hand and indicating how these methods can be implemented using the R language. For a;
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