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One in a series of books co-published with SAS, this book provides a user-friendly introduction to both the SAS system and elementary;
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complete statistical data mining solutions without writing SAS program codes or using the point-and-click approach. Each chapter emphasizes step-by;
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Step-by-Step Basic Statistics Using SAS: Student Guide first introduces you to SAS software, then leads you through a variety of elementary;
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is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no;
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This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical;
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This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical;
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A holistic, step-by-step approach to analyzing health care data! Written for both beginner and intermediate JMP users working in or;
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multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for;
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IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth edition, takes a straightforward, step-by-step approach that;
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of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the;
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analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the authors' 30;
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throughout. The authors examine in detail how each multivariate technique can be implemented using SPSS and SAS and Mplus in the book's later;
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An insightful guide to understanding and visualizing multivariate statistics using SAS(R), STATA(R), and SPSS(R) Multivariate Analysis for;
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Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, how-to reference for anyone performing essential;
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This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;
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This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;
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This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and;
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, and public health. Terence Mills provides a practical, step-by-step approach that emphasizes core theories and results without becoming bogged;
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Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;
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Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;
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A step-by-step introduction to using SAS (R) statistical software as a foundational approach to data analysis and interpretation;
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Reduction and Discrimination with SAS? Software both by Ravindra Khattree and Dayanand N. Naik.;
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of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll;
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with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step;
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Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods;
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-- A Practical Approach to using Multivariate Analyses Using Multivariate Statistics, 6th edition provides advanced undergraduate;
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numerous step-by-step tutorials help the reader to learn quickly Covers the theory and application of the statistical techniques
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