Stats

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Online Statistics Education

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Author : David M Lane
language : en
Publisher:
Release Date : 2014-12-02

Online Statistics Education written by David M Lane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-02 with categories.

Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

Introductory Statistics 2e Hardcover Full Color

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Author : Barbara Illowsky
language : en
Publisher:
Release Date : 2023-12-14

Introductory Statistics 2e Hardcover Full Color written by Barbara Illowsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Business & Economics categories.

Book Publication Date: Dec 13, 2023. Full color. 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.

Think Stats

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Author : Allen B. Downey
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-10-16

Think Stats written by Allen B. Downey and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-16 with Computers categories.

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Think Stats

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Author : Allen B. Downey
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-07-01

Think Stats written by Allen B. Downey and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-01 with Computers categories.

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts. Develop your understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Learn topics not usually covered in an introductory course, such as Bayesian estimation Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Stats

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Author : Richard D. De Veaux
language : en
Publisher:
Release Date : 2012

Stats written by Richard D. De Veaux and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematical statistics categories.

Introduction To Probability

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Author : Joseph K. Blitzstein
language : en
Publisher: CRC Press
Release Date : 2014-07-24

Introduction To Probability written by Joseph K. Blitzstein and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-24 with Mathematics categories.

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

Black Stats

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Author : Monique W. Morris
language : en
Publisher: New Press, The
Release Date : 2014-01-28

Black Stats written by Monique W. Morris and has been published by New Press, The this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-28 with Social Science categories.

Black Stats—a comprehensive guide filled with contemporary facts and figures on African Americans—is an essential reference for anyone attempting to fathom the complex state of our nation. With fascinating and often surprising information on everything from incarceration rates, lending practices, and the arts to marriage, voting habits, and green jobs, the contextualized material in this book will better attune readers to telling trends while challenging commonly held, yet often misguided, perceptions. A compilation that at once highlights measures of incredible progress and enumerates the disparate impacts of social policies and practices, this book is a critical tool for advocates, educators, and policy makers. Black Stats offers indispensable information that is sure to enlighten discussions and provoke debates about the quality of Black life in the United States today—and help chart the path to a better future. There are less than a quarter-million Black public school teachers in the U.S.—representing just 7 percent of all teachers in public schools. Approximately half of the Black population in the United States lives in neighborhoods that have no White residents. In the five years before the Great Recession, the number of Black-owned businesses in the United States increased by 61 percent. A 2010 study found that 41 percent of Black youth feel that rap music videos should be more political. There are no Black owners or presidents of an NFL franchise team. 78 percent of Black Americans live within 30 miles of a coal-fired power plant, compared with 56 percent of White Americans.

An Introduction To Statistical Learning

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Author : Gareth James
language : en
Publisher: Springer Nature
Release Date : 2023-08-01

An Introduction To Statistical Learning written by Gareth James and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Mathematics categories.

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, marketing, and 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, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Openintro Statistics

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Author : David Diez
language : en
Publisher:
Release Date : 2015-07-02

Openintro Statistics written by David Diez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-02 with categories.

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.

How To Lie With Statistics

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Author : Darrell Huff
language : en
Publisher: Penguin UK
Release Date : 2023-03-30

How To Lie With Statistics written by Darrell Huff and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-30 with Mathematics categories.

'A great introduction to a crucial topic' Bill Gates 'Perhaps the most popular book on statistics ever published ... It's a marvel ... gave me a peek behind the curtain of statistical manipulation, showing me how the swindling was done so that I would not be fooled again' Tim Harford In 1954, Darrell Huff decided enough was enough. Fed up with politicians, advertisers and journalists using statistics to sensationalise, inflate, confuse, oversimplify and - on occasion - downright lie, he decided to shed light on their ill-informed and sneaky ways. How to Lie with Statistics is the result - the definitive and hilarious primer in the ways statistics are used to deceive. With over one and half million copies sold around the world, it has delighted generations of readers with its cheeky takes on the ins and outs of samples, averages, errors, graphs and indexes. And in the modern world of big data and misinformation, Huff remains the perfect guide through the maze of facts and figures that are designed to make us believe anything. 'A hilarious exploration of mathematical mendacity.... Every time you pick it up, what happens? Bang goes another illusion!' The New York Times 'A pleasantly subversive little book guaranteed to undermine your faith in the almighty statistic' Atlantic