Stat 208 Statistical Thinking
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Author | : Becky Durfee |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 224 |
Release | : 2017-04-13 |
Genre | : |
ISBN | : 9781544621203 |
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This workbook accompanies STAT 208 at Virginia Commonwealth University
Author | : Mays |
Publisher | : Thomson Learning |
Total Pages | : |
Release | : 2000-08-01 |
Genre | : Business & Economics |
ISBN | : 9780759301641 |
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Author | : James E. Mays |
Publisher | : Macmillan |
Total Pages | : 198 |
Release | : 2005-01-15 |
Genre | : Business & Economics |
ISBN | : 9780716772552 |
Download A Guide to Statistical Thinking Third Edition SCC Fifth Edition Book in PDF, Epub and Kindle
Author | : John L. Phillips |
Publisher | : |
Total Pages | : 262 |
Release | : 1971 |
Genre | : Statistics |
ISBN | : |
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Author | : Russell Poldrack |
Publisher | : Princeton University Press |
Total Pages | : 281 |
Release | : 2023-05-16 |
Genre | : Psychology |
ISBN | : 069123082X |
Download Statistical Thinking Book in PDF, Epub and Kindle
An essential introduction to statistics for students of psychology and the social sciences Statistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main ideas of statistics in a way that focuses on deep comprehension rather than rote application or mathematical immersion. The presentation of statistical concepts is thoroughly modern, sharing cutting-edge ideas from the fields of machine learning and data science that help students effectively use statistical methods to ask questions about data. Statistical Thinking provides the tools to describe complex patterns that emerge from data and to make accurate predictions and decisions based on data. Introduces statistics from a uniquely modern standpoint, helping students to use the basic ideas of statistics to analyze real data Presents a model of statistics that ties together a broad range of statistical techniques that can be used to answer many different kinds of questions Explains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practice Includes a wealth of examples using real-world data Accompanied by computer code in R and in Python—freely available online—that enables students to see how each example is generated and to code their own analyses
Author | : Yuly Koshevnik |
Publisher | : |
Total Pages | : 0 |
Release | : 2022-06-21 |
Genre | : |
ISBN | : 9781793579393 |
Download Fundamentals of Statistical Thinking Book in PDF, Epub and Kindle
Written for students with basic experience in college algebra and applied calculus, Fundamentals of Statistical Thinking: Tools and Applications familiarizes readers with fundamental concepts in statistical thinking in order to prepare them for specialized management courses such as econometrics and quantitative analysis. The book is organized into four sections, each of which focuses on a common tool used in application. Chapters 1 through 4 discuss data analysis and summaries, with an emphasis on descriptive statistics and visualization. In Chapters 5 through 8 students learn about probability models and sampling distributions. Chapters 9 and 10 deal with statistical inferences, while Chapters 11 and 12 provide further applications for categorical data and simple linear regression models. Graphical illustrations support the written text and each chapter concludes with a visual summary. Rooted in over ten years of classroom experience at both the undergraduate and graduate levels, Fundamentals of Statistical Thinking helps readers understand the importance of the main technical tools of statistical decision making, and explains when they can most appropriately be used for applied studies.
Author | : M. D. Edge |
Publisher | : Oxford University Press |
Total Pages | : 320 |
Release | : 2019-06-07 |
Genre | : Science |
ISBN | : 0192562703 |
Download Statistical Thinking from Scratch Book in PDF, Epub and Kindle
Researchers across the natural and social sciences find themselves navigating tremendous amounts of new data. Making sense of this flood of information requires more than the rote application of formulaic statistical methods. The premise of Statistical Thinking from Scratch is that students who want to become confident data analysts are better served by a deep introduction to a single statistical method than by a cursory overview of many methods. In particular, this book focuses on simple linear regression-a method with close connections to the most important tools in applied statistics-using it as a detailed case study for teaching resampling-based, likelihood-based, and Bayesian approaches to statistical inference. Considering simple linear regression in depth imparts an idea of how statistical procedures are designed, a flavour for the philosophical positions one assumes when applying statistics, and tools to probe the strengths of one's statistical approach. Key to the book's novel approach is its mathematical level, which is gentler than most texts for statisticians but more rigorous than most introductory texts for non-statisticians. Statistical Thinking from Scratch is suitable for senior undergraduate and beginning graduate students, professional researchers, and practitioners seeking to improve their understanding of statistical methods across the natural and social sciences, medicine, psychology, public health, business, and other fields.
Author | : Benjamin Yakir |
Publisher | : |
Total Pages | : 324 |
Release | : 2014-09-19 |
Genre | : |
ISBN | : 9781502424662 |
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Introduction to Statistical ThinkingBy Benjamin Yakir
Author | : David K. Hildebrand |
Publisher | : South-Western College |
Total Pages | : 876 |
Release | : 1998 |
Genre | : Business & Economics |
ISBN | : |
Download Statistical Thinking for Managers Book in PDF, Epub and Kindle
Focusing on the analysis of data using modern statistical and spreadsheet software, Hildebrand and Ott emphasize making sense of data and discuss not only how a statistical method is applied, but why and why not. Throughout the book, the authors integrate computer use into the development of statistical concepts, emphasizing the value of looking at data to make sure the right questions are being asked. The real-life applications and examples throughout challenge students to think like managers. The case that concludes every chapter asks students to deal with a relatively unstructured situation and to explain the statistical reasoning in nontechnical language. Modern statistical methods, including resampling and bootstrapping are included. In addition, the authors emphasize quality control and improvement throughout the book and include three full chapters on regression and correlation methods.
Author | : Roger W. Hoerl |
Publisher | : John Wiley & Sons |
Total Pages | : 640 |
Release | : 2020-08-25 |
Genre | : Business & Economics |
ISBN | : 1119605733 |
Download Statistical Thinking Book in PDF, Epub and Kindle
Apply statistics in business to achieve performance improvement Statistical Thinking: Improving Business Performance, 3rd Edition helps managers understand the role of statistics in implementing business improvements. It guides professionals who are learning statistics in order to improve performance in business and industry. It also helps graduate and undergraduate students understand the strategic value of data and statistics in arriving at real business solutions. Instruction in the book is based on principles of effective learning, established by educational and behavioral research. The authors cover both practical examples and underlying theory, both the big picture and necessary details. Readers gain a conceptual understanding and the ability to perform actionable analyses. They are introduced to data skills to improve business processes, including collecting the appropriate data, identifying existing data limitations, and analyzing data graphically. The authors also provide an in-depth look at JMP software, including its purpose, capabilities, and techniques for use. Updates to this edition include: A new chapter on data, assessing data pedigree (quality), and acquisition tools Discussion of the relationship between statistical thinking and data science Explanation of the proper role and interpretation of p-values (understanding of the dangers of “p-hacking”) Differentiation between practical and statistical significance Introduction of the emerging discipline of statistical engineering Explanation of the proper role of subject matter theory in order to identify causal relationships A holistic framework for variation that includes outliers, in addition to systematic and random variation Revised chapters based on significant teaching experience Content enhancements based on student input This book helps readers understand the role of statistics in business before they embark on learning statistical techniques.