Understanding Inferential Statistics From A For Significance Test To Z For Confidence Interval


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Understanding Inferential Statistics


Understanding Inferential Statistics

Author: Markus Janczyk

language: en

Publisher: Springer Nature

Release Date: 2023-10-24


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What actually is a p-value for? And what is a significant result? This book answers such questions by providing a compact introduction to inferential statistics. Our major focus is on the logic of inferential statistics and hypothesis testing: We cover the logic behind statistical tests, we then walk through the most common procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) and discuss pitfalls of data analysis. The book thus helps developing a solid understanding of how common test procedures work, and how to interpret their results correctly. Hands-on examples from everyday research – including exemplary calculations with the programs SPSS and R – supplement each chapter. In addition to classical methods, we briefly discuss recent developments in psychological research methods. This book is a translation of the original German 3rd edition of “Inferenzstatistik Verstehen” by Markus Janczyk and Roland Pfister. It is based on an AI-powered machine translation (by the service DeepL.com), with thorough follow-up editing by both authors.

Statistics from A to Z


Statistics from A to Z

Author: Andrew A. Jawlik

language: en

Publisher: John Wiley & Sons

Release Date: 2016-09-16


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Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: • Easy to Understand: Uses unique “graphics that teach” such as concept flow diagrams, compare-and-contrast tables, and even cartoons to enhance “rememberability.” • Easy to Use: Alphabetically arranged, like a mini-encyclopedia, for easy lookup on the job, while studying, or during an open-book exam. • Wider Scope: Covers Statistics I and Statistics II and Six Sigma Black Belt, adding such topics as control charts and statistical process control, process capability analysis, and design of experiments. As a result, this book will be useful for business professionals and industrial engineers in addition to students and professionals in the social and physical sciences. In addition, each of the 60+ concepts is covered in one or more articles. The 75 articles in the book are usually 5–7 pages long, ensuring that things are presented in “bite-sized chunks.” The first page of each article typically lists five “Keys to Understanding” which tell the reader everything they need to know on one page. This book also contains an article on “Which Statistical Tool to Use to Solve Some Common Problems”, additional “Which to Use When” articles on Control Charts, Distributions, and Charts/Graphs/Plots, as well as articles explaining how different concepts work together (e.g., how Alpha, p, Critical Value, and Test Statistic interrelate). ANDREW A. JAWLIK received his B.S. in Mathematics and his M.S. in Mathematics and Computer Science from the University of Michigan. He held jobs with IBM in marketing, sales, finance, and information technology, as well as a position as Process Executive. In these jobs, he learned how to communicate difficult technical concepts in easy - to - understand terms. He completed Lean Six Sigma Black Belt coursework at the IASSC - accredited Pyzdek Institute. In order to understand the confusing statistics involved, he wrote explanations in his own words and graphics. Using this material, he passed the certification exam with a perfect score. Those statistical explanations then became the starting point for this book.

Understanding Statistics for the Social Sciences, Criminal Justice, and Criminology


Understanding Statistics for the Social Sciences, Criminal Justice, and Criminology

Author: Jeffery T. Walker

language: en

Publisher: Jones & Bartlett Publishers

Release Date: 2013


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Designed for the introductory-level statistics course in criminology, criminal justice, sociology and related social sciences, this text is adapted from Walker's Statistics in Criminology and Criminal Justice, Third Edition. Understanding Statistics provides a solid overview of the subject by taking the basic elements from the chapters covering univariate, bivariate, and inferential statistics while retaining the foundational discussions and interpretations. The material is presented in a clear and easy-to-understand format and focuses on calculating the basic formulas in statistics yet preserves enough advanced material to prepare students for further study.Understanding Statistics boasts a variety of in-text study aids, such as key terms, equation summaries, exercises, end-of-chapter references, and suggested readings; as well as a collection of online study tools housed on the dedicated student companion website. The student-friendly presentation of the material coupled with the rich variety of student and instructor resources make Understanding Statistics the ideal introductory statistics text for undergraduate students!Every new printed copy is packaged with full student access to the student companion website featuring a a rich variety of study tools! (eBook version does not include access to the student companion website. Standalone access can be purchased here http://www.jblearning.com/catalog/9781449649234/)The latest version of SPSS 18.0 is available as a bundle.Instructor Resources:-Microsoft PowerPoint lecture slides-Instructor manual with answers to the exercises and pre-tests-Microsoft Excel and SPSS data sets-Test BankStudent Resources:-Microsoft and Excel SPSS data sets-Companion website featuring:*interactive flashcards*interactive glossary*mutliple choice questions*fill-in-the-blank questions*practice quiz (with answers)*pre-tests (with answers)*tests (with answers)*student data sets, in Excel and SPSS, that correlate to the chapter material*weblinks*suggested further reading