Thinking Through Statistics
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Author | : John Levi Martin |
Publisher | : University of Chicago Press |
Total Pages | : 377 |
Release | : 2018-08-21 |
Genre | : Social Science |
ISBN | : 022656777X |
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.
Author | : Anthony Donoghue |
Publisher | : Cognella Academic Publishing |
Total Pages | : |
Release | : 2021-08-02 |
Genre | : |
ISBN | : 9781793564634 |
Author | : John Levi Martin |
Publisher | : University of Chicago Press |
Total Pages | : 280 |
Release | : 2017-02-08 |
Genre | : Reference |
ISBN | : 022643172X |
Sharpen your tools -- How to formulate a question -- How do you choose a site? -- Talking to people -- Hanging out -- Ethics in research -- Comparing -- Dealing with documents -- Interpreting it and writing it up
Author | : Roger W. Hoerl |
Publisher | : John Wiley & Sons |
Total Pages | : 544 |
Release | : 2012-04-09 |
Genre | : Business & Economics |
ISBN | : 1118236858 |
How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.
Author | : David Spiegelhalter |
Publisher | : Basic Books |
Total Pages | : 359 |
Release | : 2019-09-03 |
Genre | : Mathematics |
ISBN | : 1541618521 |
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.
Author | : Jessica M. Utts |
Publisher | : Cengage Learning |
Total Pages | : 0 |
Release | : 2014-01-14 |
Genre | : Mathematics |
ISBN | : 9781285050881 |
The fourth edition of this popular book by Jessica Utts develops statistical literacy and critical thinking through real-world applications, with an emphasis on ideas, not calculations. This text focuses on the key concepts that educated citizens need to know about statistics. These ideas are introduced in interesting applied and real contexts, without using an abundance of technicalities and calculations that only serve to confuse students. NEW for Fall 2020 - Turn your students into statistical thinkers with the Statistical Analysis and Learning Tool (SALT). SALT is an easy-to-use data analysis tool created with the intro-level student in mind. It contains dynamic graphics and allows students to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind data. SALT is built by Cengage, comes integrated in Cengage WebAssign Statistics courses and available to use standalone. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author | : Ethan Bueno de Mesquita |
Publisher | : Princeton University Press |
Total Pages | : 400 |
Release | : 2021-11-16 |
Genre | : Social Science |
ISBN | : 0691215014 |
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
Author | : Allen B. Downey |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 284 |
Release | : 2014-10-16 |
Genre | : Computers |
ISBN | : 1491907363 |
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
Author | : Anthony Donoghue |
Publisher | : |
Total Pages | : 228 |
Release | : 2017-12-27 |
Genre | : Statistics |
ISBN | : 9781516525607 |
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.
Author | : Joseph Tal |
Publisher | : McGraw-Hill Companies |
Total Pages | : 308 |
Release | : 2001 |
Genre | : Business & Economics |
ISBN | : |
In this book the Jsopeh Tal, "brings statistics down to earth for the general reader. Focusing on the psychology behind statistics, he shows how it applies in our everyday lives. He demonstrates how even mundane decisions, such as what to make for dinner or whether to take an umbrella, involve basic statistical reasoning. Tal issues dozens of fascinating examples from social and natural sciences, sports, business and a whole host of other disciplines. With them he demystifies means, medians, modes and sampling, estimation, hypothesis testing and many more tools-of-the-trade." - back cover.