Thinking About Statistics

Download Thinking About Statistics full books in PDF, epub, and Kindle. Read online Thinking About Statistics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Thinking Through Statistics

Author : John Levi Martin
Publisher : University of Chicago Press
ISBN 13 : 022656777X
Total Pages : 377 pages
Book Rating : 4.2/5 (265 download)

DOWNLOAD NOW!

Book Synopsis Thinking Through Statistics by : John Levi Martin

Download or read book Thinking Through Statistics written by John Levi Martin and published by University of Chicago Press. This book was released on 2018-08-21 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.

Think Stats

Author : Allen B. Downey
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449313108
Total Pages : 137 pages
Book Rating : 4.4/5 (493 download)

DOWNLOAD NOW!

Book Synopsis Think Stats by : Allen B. Downey

Download or read book Think Stats written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2011-07-01 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Think Stats

Author : Allen B. Downey
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491907363
Total Pages : 284 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Think Stats by : Allen B. Downey

Download or read book Think Stats written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2014-10-16 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistics for People Who (Think They) Hate Statistics

Author : Neil J. Salkind
Publisher : SAGE Publications
ISBN 13 : 1483374106
Total Pages : 620 pages
Book Rating : 4.4/5 (833 download)

DOWNLOAD NOW!

Book Synopsis Statistics for People Who (Think They) Hate Statistics by : Neil J. Salkind

Download or read book Statistics for People Who (Think They) Hate Statistics written by Neil J. Salkind and published by SAGE Publications. This book was released on 2016-01-29 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.

The Art of Statistics

Author : David Spiegelhalter
Publisher : Basic Books
ISBN 13 : 1541618521
Total Pages : 359 pages
Book Rating : 4.5/5 (416 download)

DOWNLOAD NOW!

Book Synopsis The Art of Statistics by : David Spiegelhalter

Download or read book The Art of Statistics written by David Spiegelhalter and published by Basic Books. This book was released on 2019-09-03 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this "important and comprehensive" guide to statistical thinking (New Yorker), discover how data literacy is changing the world and gives you a better understanding of life’s biggest problems. Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math. Drawing on real world examples to introduce complex issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether a notorious serial killer could have been caught earlier, and if screening for ovarian cancer is beneficial. The Art of Statistics not only shows us how mathematicians have used statistical science to solve these problems -- it teaches us how we too can think like statisticians. We learn how to clarify our questions, assumptions, and expectations when approaching a problem, and -- perhaps even more importantly -- we learn how to responsibly interpret the answers we receive. Combining the incomparable insight of an expert with the playful enthusiasm of an aficionado, The Art of Statistics is the definitive guide to stats that every modern person needs.

The Role of Mathematics in Evolutionary Theory

Author : Jun Otsuka
Publisher : Cambridge University Press
ISBN 13 : 9781108727853
Total Pages : 75 pages
Book Rating : 4.7/5 (278 download)

DOWNLOAD NOW!

Book Synopsis The Role of Mathematics in Evolutionary Theory by : Jun Otsuka

Download or read book The Role of Mathematics in Evolutionary Theory written by Jun Otsuka and published by Cambridge University Press. This book was released on 2019-10-17 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: The central role of mathematical modeling in modern evolutionary theory has raised a concern as to why and how abstract formulae can say anything about empirical phenomena of evolution. This Element introduces existing philosophical approaches to this problem and proposes a new account according to which evolutionary models are based on causal, and not just mathematical, assumptions. The novel account features causal models both as the Humean 'uniform nature' underlying evolutionary induction and as the organizing framework that integrates mathematical and empirical assumptions into a cohesive network of beliefs that functions together to achieve epistemic goals of evolutionary biology.

Statistical Thinking

Author : Leonard C. Onyiah
Publisher :
ISBN 13 : 9780757589713
Total Pages : 0 pages
Book Rating : 4.5/5 (897 download)

DOWNLOAD NOW!

Book Synopsis Statistical Thinking by : Leonard C. Onyiah

Download or read book Statistical Thinking written by Leonard C. Onyiah and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistics for People Who (Think They) Hate Statistics

Author : Neil J. Salkind
Publisher : SAGE
ISBN 13 : 9781412924825
Total Pages : 428 pages
Book Rating : 4.9/5 (248 download)

DOWNLOAD NOW!

Book Synopsis Statistics for People Who (Think They) Hate Statistics by : Neil J. Salkind

Download or read book Statistics for People Who (Think They) Hate Statistics written by Neil J. Salkind and published by SAGE. This book was released on 2007 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.

A Field Guide to Lies

Author : Daniel J. Levitin
Publisher : Penguin
ISBN 13 : 0698409795
Total Pages : 197 pages
Book Rating : 4.6/5 (984 download)

DOWNLOAD NOW!

Book Synopsis A Field Guide to Lies by : Daniel J. Levitin

Download or read book A Field Guide to Lies written by Daniel J. Levitin and published by Penguin. This book was released on 2016-09-06 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: From The New York Times bestselling author of THE ORGANIZED MIND and THIS IS YOUR BRAIN ON MUSIC, a primer to the critical thinking that is more necessary now than ever. We are bombarded with more information each day than our brains can process—especially in election season. It's raining bad data, half-truths, and even outright lies. New York Times bestselling author Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written reports revealing the ways lying weasels can use them. It's becoming harder to separate the wheat from the digital chaff. How do we distinguish misinformation, pseudo-facts, distortions, and outright lies from reliable information? Levitin groups his field guide into two categories—statistical infomation and faulty arguments—ultimately showing how science is the bedrock of critical thinking. Infoliteracy means understanding that there are hierarchies of source quality and bias that variously distort our information feeds via every media channel, including social media. We may expect newspapers, bloggers, the government, and Wikipedia to be factually and logically correct, but they so often aren't. We need to think critically about the words and numbers we encounter if we want to be successful at work, at play, and in making the most of our lives. This means checking the plausibility and reasoning—not passively accepting information, repeating it, and making decisions based on it. Readers learn to avoid the extremes of passive gullibility and cynical rejection. Levitin's charming, entertaining, accessible guide can help anyone wake up to a whole lot of things that aren't so. And catch some lying weasels in their tracks!

Research Methods and Statistics

Author : Bernard C. Beins
Publisher : Cambridge University Press
ISBN 13 : 1108553923
Total Pages : 469 pages
Book Rating : 4.1/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Research Methods and Statistics by : Bernard C. Beins

Download or read book Research Methods and Statistics written by Bernard C. Beins and published by Cambridge University Press. This book was released on 2017-11-02 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Methods and Statistics provides a seamless introduction to the subject, identifying various research areas and analyzing how one can approach them statistically. The text provides a solid empirical foundation for undergraduate psychology majors, and prepares the reader to think critically, and evaluate psychological research and claims they might hear in the news or popular press. The text can be used in all statistics, methods and experimental psychology courses.

The Data Detective

Author : Tim Harford
Publisher : Penguin
ISBN 13 : 0593084667
Total Pages : 337 pages
Book Rating : 4.5/5 (93 download)

DOWNLOAD NOW!

Book Synopsis The Data Detective by : Tim Harford

Download or read book The Data Detective written by Tim Harford and published by Penguin. This book was released on 2022-02-01 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.

Thinking Clearly with Data

Author : Ethan Bueno de Mesquita
Publisher : Princeton University Press
ISBN 13 : 0691215014
Total Pages : 400 pages
Book Rating : 4.6/5 (912 download)

DOWNLOAD NOW!

Book Synopsis Thinking Clearly with Data by : Ethan Bueno de Mesquita

Download or read book Thinking Clearly with Data written by Ethan Bueno de Mesquita and published by Princeton University Press. This book was released on 2021-11-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: An engaging introduction to data science that emphasizes critical thinking over statistical techniques An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking. An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields Introduces the basic toolkit of data analysis—including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity Uses real-world examples and data from a wide variety of subjects Includes practice questions and data exercises

Regression Modeling Strategies

Author : Frank E. Harrell
Publisher : Springer Science & Business Media
ISBN 13 : 147573462X
Total Pages : 583 pages
Book Rating : 4.4/5 (757 download)

DOWNLOAD NOW!

Book Synopsis Regression Modeling Strategies by : Frank E. Harrell

Download or read book Regression Modeling Strategies written by Frank E. Harrell and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Think Bayes

Author : Allen Downey
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491945443
Total Pages : 213 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Think Bayes by : Allen Downey

Download or read book Think Bayes written by Allen Downey and published by "O'Reilly Media, Inc.". This book was released on 2013-09-12 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you know how to program with Python, and know a little about probability, you're ready to tackle Bayesian statistics. This book shows you how to use Python code instead of math to help you learn Bayesian fundamentals. Once you get the math out of the way, you'll be able to apply these techniques to real-world problems.

Statistics and the Media

Author : Anthony Donoghue
Publisher :
ISBN 13 : 9781516525607
Total Pages : 228 pages
Book Rating : 4.5/5 (256 download)

DOWNLOAD NOW!

Book Synopsis Statistics and the Media by : Anthony Donoghue

Download or read book Statistics and the Media written by Anthony Donoghue and published by . This book was released on 2017-12-27 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding - the meaning behind mathematical calculations rather than the calculations themselves.

Introduction to Statistics

Author : Scott Stevens
Publisher :
ISBN 13 : 9780984207176
Total Pages : 250 pages
Book Rating : 4.2/5 (71 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Statistics by : Scott Stevens

Download or read book Introduction to Statistics written by Scott Stevens and published by . This book was released on 2012 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Inference as Severe Testing

Author : Deborah G. Mayo
Publisher : Cambridge University Press
ISBN 13 : 1108563309
Total Pages : 503 pages
Book Rating : 4.1/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Statistical Inference as Severe Testing by : Deborah G. Mayo

Download or read book Statistical Inference as Severe Testing written by Deborah G. Mayo and published by Cambridge University Press. This book was released on 2018-09-20 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.