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A digital copy of "Statistics - MyLab Stats With Pearson Access" by James T. McClave and Terry T. Sincich. Download is immediately available upon purchase!

Statistics in Geography has established itself as the best introductory textbook on the subject: the author makes statistical concepts and techniques intellible and their applications in a wide variety of problems comprehensible, even exciting. The main feature of this much-awaited new edition is a set of 17 computer programs (with sample outputs) that cover nearly all the statistical techniques described. These have been carefully written to be user-friendly in an elementary subset of Basic to make them simple to implement on most micro computers. This means students can be more adventurous in their applications and interpretations of statistical techniques. The author has, at the same time, retained all the worked examples in the book so that the reader can gain insight into the logic of the methds by working through them by hand. These, together with problems of various levels of complexity plus comprehensive answers at the back of the book, provide the student with a clear and thorough understanding of both the methods and their potential applications.

A digital copy of "Statistics for Managers Using Microsoft Excel (Pearson Channel)" by David Levine. Download is immediately available upon purchase!

A New copy of "Statistics - MyLab Stats With Pearson Access" by James T. McClave and Terry T. Sincich. Ships directly from Textbooks.com

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.

Drawing upon over 40 years of experience, the authors of this highly accessible book provide business professionals with a clear and methodical approach to essential statistical procedures. The ninth edition clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features a new emphasis on expressions involving sums of squares and degrees of freedom as well as a stronger stress on the importance of variability. This accessible approach will help business professionals tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size.

Gravetter and Wallnau's proven best-seller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors AND students have come to appreciate. The authors integrate applications to ensure that even students with a weak background in mathematics can achieve mastery of statistical concepts. They skillfully demonstrate that having an understanding of statistical procedures will help them not only understand published findings, but also become savvy consumers of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support instructors with class preparation and testing.

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range dependence. Presenting material that previously appeared only in journals, the author provides a concise and effective overview of probabilistic foundations, statistical methods, and applications. The material emphasizes basic principles and practical applications and provides an integrated perspective of both theory and practice. This book explores data sets from a wide range of disciplines, such as hydrology, climatology, telecommunications engineering, and high-precision physical measurement. The data sets are conveniently compiled in the index, and this allows readers to view statistical approaches in a practical context. Statistical Methods for Long Term Memory Processes also supplies S-PLUS programs for the major methods discussed. This feature allows the practitioner to apply long memory processes in daily data analysis. For newcomers to the area, the first three chapters provide the basic knowledge necessary for understanding the remainder of the material. To promote selective reading, the author presents the chapters independently. Combining essential methodologies with real-life applications, this outstanding volume is and indispensable reference for statisticians and scientists who analyze data with long-range dependence.

Anthropology as a discipline is rapidly becoming more quantitative, and anthropology students are now required to develop sophisticated statistical skills. This book provides students of anthropology with a clear, step-by-step guide to univariate statistical methods, demystifying the aspects that are often seen as difficult or impenetrable. Explaining the central role of statistical methods in anthropology and using only anthropological examples, the book provides a solid footing in statistical techniques. Beginning with basic descriptive statistics, this new edition also covers more advanced methods such as analyses of frequencies and variance, simple and multiple regression analysis with dummy and continuous variables. It addresses commonly encountered problems such as small samples and non-normality. Each statistical technique is accompanied by clearly worked examples and the chapters end with practice problem sets. Many of the datasets are available for download at www.cambridge.org/9780521147088.

*Statistics in Action reflects the latest developments in statistics and employs modern, effective methods to teach this increasingly important topic. * Important concepts, real-world context- Students will learn to conduct, randomize and analyze surveys and experiments.

Unlock the power of data This book incorporates the use of available technologies and modern methods of data analysis. It focuses on providing conceptual understanding of the main themes of statistical inference to provide a more solid grasp of the core ideas of statistics — and to make it relatively easy to apply those ideas to more theoretical and advanced statistics topics. Furthermore, the text offers cutting-edge ideas like randomization and bootstrapping to introduce the fundamental ideas of statistical inference to enhance understanding, make statistics come alive, and deliver improved retention.

Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. 2.73

Introducing Statistics & Data Analytics for Health Data Management by Nadinia Davis and Betsy Shiland, an engaging new text that emphasizes the easy-to-learn, practical use of statistics and manipulation of data in the health care setting. With its unique hands-on approach and friendly writing style, this vivid text uses real-world examples to show you how to identify the problem, find the right data, generate the statistics, and present the information to other users. Brief Case scenarios ask you to apply information to situations Health Information Management professionals encounter every day, and review questions are tied to learning objectives and Bloom's taxonomy to reinforce core content. From planning budgets to explaining accounting methodologies, Statistics & Data Analytics addresses the key HIM Associate Degree-Entry Level competencies required by CAHIIM and covered in the RHIT exam.

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STATISTICS: THE EXPLORATION AND ANALYSIS OF DATA, 7th Edition introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including the frequent substitution of words for symbols--helps you grasp concepts and cement your comprehension.

One of the best-selling business statistics text on the market, ASW blends concepts, techniques and applications to strike a balance between a conceptual understanding of statistics and the real-world application of statistical methodology. Uses problem-scenario business examples to introduce techniques (over 200 examples use real companies). Chapters open with Statistics in Practice applications from the business world. Problem sets are divided into Methods, Applications, and Self-Test Exercises and includes hundreds of problems based on real data and/or quality-based examples. Unique Notes and Comments sections give students additional insights about statistical methodology and helpful hints on how to avoid common statistical mistakes. This text can be computer integrated at the discretion of the instructor. Output for analysis, based on Minitab, is included throughout the text where appropriate. Instruction for data analysis based on Excel and Minitab is included in appendices of appropriate chapters. Computer cases are also provided at the end of appropriate chapters, with data sets available on disk in Minitab, Excel, and Data Analyst formats.

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The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

x 141p paperback with protective plastic wrapper, excellent condition, index, some pages slightly stained, index, slim volume