elementary statistics a step by step approach with formula card

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Elementary Statistics A Step By Step Approach With Formula Card

Author : Allan Bluman
ISBN : 0078136334
Genre : Mathematics
File Size : 65. 78 MB
Format : PDF, Mobi
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Elementary Statistics: A Step By Step Approach is for introductory statistics courses with a basic algebra prerequisite. The text follows a nontheoretical approach, explaining concepts intuitively and supporting them with abundant examples. In recent editions, Al Bluman has placed more emphasis on conceptual understanding and understanding results, which is also reflected in the online homework environment, Connect Math Hosted by ALEKS. Additionally step-by step instructions on how to utilize the TI-84 Plus graphing calculator, Excel, and Minitab, have also been updated to reflect the most recent editions of each technology. Connect Math Hosted by ALEKS and LearnSmart for Bluman, Elementary Statistics, was developed by statistics instructors who served as digital contributors. Their experience in teaching statistics provided a significant advantage while they authored each algorithm and providing stepped out, highly detailed solutions that focus on areas where students commonly make mistakes. The result is an online homework platform that provides superior content and feedback, allowing students to effectively learn the material being taught. Several hundred new questions have been added to Connect Math Hosted by ALEKS for this edition to ensure a broader coverage of topics and alignment with the text content. www.mhhe.com/bluman

Elementary Statistics

Author : Allan G. Bluman
ISBN : 0073386111
Genre : Mathematical statistics
File Size : 69. 86 MB
Format : PDF, ePub
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ELEMENTARY STATISTICS: A BRIEF VERSION is for introductory statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. In recent editions, Al Bluman has placed more emphasis on conceptual understanding and understanding results, along with increased focus on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses.The 6th edition of Bluman, Elementary Statistics: A Brief Version provides a significant leap forward in terms of online course management with McGraw-Hill's homework platform, Connect Statistics - Hosted by ALEKS. Statistic instructors served as digital contributors to choose the problems that will be available, authoring each algorithm and providing stepped out solutions that go into great detail and are focused on areas where students commonly make mistakes. From there, the ALEKS Corporation reviewed each algorithm to ensure accuracy. The result is an online homework platform that provides superior content and feedback, allowing students to effectively learn the material being taught.

Elementary Statistics

Author : Allan G. Bluman
ISBN : 0697243486
Genre : Mathematics
File Size : 89. 6 MB
Format : PDF, ePub, Docs
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Loose Leaf Elementary Statistics With Formula Card

Author : Allan Bluman
ISBN : 0078096715
Genre : Mathematics
File Size : 74. 95 MB
Format : PDF, Mobi
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Step By Step Basic Statistics Using Sas

Author : Larry Hatcher
ISBN : 1590471482
Genre : Computers
File Size : 25. 84 MB
Format : PDF, Mobi
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Introduces you to SAS software, then leads you through a variety of elementary statistical analyses that are commonly used in the social and behavioral sciences. Reinforce what you've learned by completing the exercises in the companion text, Step-by-Step Basic Statistics Using SAS: Exercises. Introduces you to SAS software, then leads you through a variety of elementary statistical analyses that are commonly used in the social and behavioral sciences. Reinforce what you've learned by completing the exercises in the companion text, Step-by-Step Basic Statistics Using SAS: Exercises.

Mind On Statistics

Author : Jessica M. Utts
ISBN : 9781285974576
Genre : Mathematics
File Size : 61. 18 MB
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MIND ON STATISTICS, Fifth Edition, helps you develop a conceptual understanding of statistical ideas and shows you how to find meaning in data. The authors-who are committed to changing any preconception you may have about statistics being boring-engage your curiosity with intriguing questions, and explain statistical topics in the context of interesting, useful examples and case studies. You'll develop your statistical intuition by focusing on analyzing data and interpreting results, rather than on mathematical formulation. As a result, you'll build both your statistical literacy and your understanding of statistical methodology. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

An Introduction To Statistical Learning

Author : Gareth James
ISBN : 1461471370
Genre : Mathematics
File Size : 64. 81 MB
Format : PDF, ePub, Docs
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

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