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Author: Daniel T. Larose
Publisher: Macmillan Higher Education
ISBN: 1429293497
Category : Mathematics
Languages : en
Pages : 681
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Book Description
Based on Daniel Larose’s more comprehensive Discovering Statistics, this new text provides a briefer, less expensive option for the traditional computational introduction to statistics. It is an ideal text for instructors who want their students to understand computational methods, while also developing statistical reasoning and critical thinking skills.
Author: Daniel T. Larose
Publisher: Macmillan Higher Education
ISBN: 1429293497
Category : Mathematics
Languages : en
Pages : 681
Get Book Here
Book Description
Based on Daniel Larose’s more comprehensive Discovering Statistics, this new text provides a briefer, less expensive option for the traditional computational introduction to statistics. It is an ideal text for instructors who want their students to understand computational methods, while also developing statistical reasoning and critical thinking skills.
Author: Daniel T. Larose
Publisher: Macmillan Higher Education
ISBN: 1464118167
Category : Mathematics
Languages : en
Pages : 869
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Book Description
Discovering Statistics balances computational methods and data interpretation. By emphasizing the relevance of statistics in today’s world, Larose helps students think critically about statistics and develop their own statistical sense. The text offers high interest and relevant examples and exercises with a large variety of contemporary applications. This popular text includes a number of features to build critical thinking skills and emphasize active learning (an important recommendation in the GAISE guidelines). Student motivation remains the guiding principle of the Second Edition. It provides the topic coverage and innovative pedagogy that support teaching and learning objectives while capturing students’ attention through his friendly, conversational writing style.
Author: David S. Moore
Publisher: Macmillan
ISBN: 1429224606
Category :
Languages : en
Pages : 978
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Book Description
The Basic Practice of Statistics has become a bestselling textbook by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course’s relevance and difficulties head on. With David Moore’s pioneering "data analysis" approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in. In the new edition, you will once again see how everything fits together. As always, Moore’s text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students—including the latest version of the widely-adopted StatsPortal. The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience.
Author:
Publisher: Key Curriculum Press
ISBN: 9781559536622
Category : Mathematics
Languages : en
Pages : 60
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Book Description
Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 3310
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Book Description
Author: James S. Hawkes
Publisher:
ISBN: 9780918091123
Category : Mathematics
Languages : en
Pages : 646
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Book Description
Author:
Publisher: University of Toronto Press
ISBN:
Category : Canada Imprints
Languages : en
Pages : 1610
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Book Description
Author: Barbara Illowsky
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 2106
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Book Description
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author: Tilman M. Davies
Publisher: No Starch Press
ISBN: 1593276516
Category : Computers
Languages : en
Pages : 833
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Book Description
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Author: David Diez
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :
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Book Description
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
