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Applied Statistics I: Basic Bivariate Techniques has been created from the first half of Rebecca M. Warner's popular Applied Statistics;
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Created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques, this;
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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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applied resources at various levels, the book includes statistical techniques using software packages such as R and SPSS (R). To promote a more;
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This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and;
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This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and;
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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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Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics;
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practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical;
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basic information they'll need to solve marketing problems and can be applied to promotion, branding, advertising, segmenting, sales forecasting;
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Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills;
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Applied Cross-Cultural Data Analysis for Social Work is a research guide for examining and interpreting data for the purpose of cultural;
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Statistical Methods for Criminology and Criminal Justice discusses the basic statistical procedures comprehensively while;
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"Your book has changed my perception and attitude towards statistics. It is very well written, the language is completely user friendly;
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techniques available for understanding their world. It covers basic probability tools, Bayes' theorem, sampling, estimation, and confidence intervals.;
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of topics while simultaneously exploiting the interrelationshipsof the material, Bivariate Discrete Distributions details the latest techniques;
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of topics while simultaneously exploiting the interrelationshipsof the material, Bivariate Discrete Distributions details the latest techniques;
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multivariate statistical methods, as well as select nonparametric tests. Altogether a hands-on manual on the applied statistics and essential R;
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an "introduction" " its" clear and comprehensive coverage of statistical analysis from basic descriptive and bivariate techniques to;
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on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the;
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on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the;
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calculus. Complete, detailed solutions to all the exercises demonstrate techniques of problem solving and provide immediate feedback.Part I, The;
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students with a big picture view of statistics as well as problem-solving strategies that can be applied to the majority of questions that;
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of statistics such as one would learn in a basic course or two on statistical techniques and methods. What You Will Learn * Install and set up;
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Applied Statistics in Business & Economics, 3rd Edition provides a comprehensive introduction to Statistics concepts and applications;
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Applied Statistics in Business & Economics, 3rd Edition provides a comprehensive introduction to Statistics concepts and applications;
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The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to;
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