Author : Katie Kormanik
Publisher : Createspace Independent Publishing Platform
Page : 104 pages
File Size : 23,74 MB
Release : 2017-02-01
Category :
ISBN : 9781542809498
Statistics is the foundation of intelligent data analysis. Statistics Fundamentals Succinctly by Katie Kormanik provides the foundational bricks and mortar needed to master the theories and methodologies behind statistical procedures. In less than 100 pages, you'll understand how to better gather and interpret all the information at your fingertips.
Author : Barbara Illowsky
Publisher :
Page : 2106 pages
File Size : 44,14 MB
Release : 2023-12-13
Category : Mathematics
ISBN :
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. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Author : N.B. Singh
Publisher : N.B. Singh
Page : 149 pages
File Size : 39,85 MB
Release :
Category : Mathematics
ISBN :
"A Handbook of Statistics Fundamentals" is a comprehensive guide designed for absolute beginners seeking to navigate the intricate landscape of statistics with ease and confidence. This accessible handbook provides a clear and concise introduction to fundamental statistical concepts, from basic principles to advanced techniques, catering to learners of all backgrounds. With an emphasis on simplicity and clarity, the book covers essential topics such as descriptive statistics, probability theory, hypothesis testing, regression analysis, and more, presenting complex ideas in an understandable and engaging manner. Whether you're a student embarking on your statistical journey or a professional looking to refresh your understanding, this book equips you with the knowledge and tools necessary to tackle statistical challenges with proficiency and assurance.
Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 27,85 MB
Release : 2013-12-11
Category : Mathematics
ISBN : 0387217363
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author : Michael H. Herzog
Publisher : Springer
Page : 146 pages
File Size : 49,3 MB
Release : 2019-08-13
Category : Science
ISBN : 3030034992
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
Author : F.M. Dekking
Publisher : Springer Science & Business Media
Page : 485 pages
File Size : 11,24 MB
Release : 2006-03-30
Category : Mathematics
ISBN : 1846281687
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
Author : Michael J. Crawley
Publisher : John Wiley & Sons
Page : 348 pages
File Size : 29,80 MB
Release : 2005-05-06
Category : Mathematics
ISBN : 9780470022986
Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http://www.imperial.ac.uk/bio/research/crawley/statistics Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.
Author : David .B. Orr
Publisher : CRC Press
Page : 374 pages
File Size : 47,89 MB
Release : 1995-04-01
Category : Mathematics
ISBN : 9780412988219
As the world becomes increasingly complex, that complexity tends to be reflected in statistical approaches to things that comprise our everyday experiences. Many people now find that understanding statistics is a skill they need to succeed in the many disciplines and occupations that rely on data and numerical information. While they may not need computational skills, rigorous mathematics, or the ability to actually design studies themselves, they do need some background in the concepts essential to understanding and intelligently applying common statistical procedures and ideas. Fundamentals of Applied Statistics and Surveys provides that background. Heavily focused on conceptual content, its approach is discursive rather than computational. The author emphasizes the more easily understandable, and more generally useful, techniques most frequently encountered by those in careers other than statistics. Aimed at users of statistical information, rather than producers of it, Fundamentals of Applied Statistics and Surveys provides an accessible treatment of basic concepts and methods without involving the reader in extensive mathematics or complicated computations.
Author : Ray W. Cooksey
Publisher : Springer Nature
Page : 752 pages
File Size : 21,37 MB
Release : 2020-05-14
Category : Mathematics
ISBN : 9811525374
This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.
Author : Leonard J. Savage
Publisher : Courier Corporation
Page : 341 pages
File Size : 15,73 MB
Release : 2012-08-29
Category : Mathematics
ISBN : 0486137104
Classic analysis of the foundations of statistics and development of personal probability, one of the greatest controversies in modern statistical thought. Revised edition. Calculus, probability, statistics, and Boolean algebra are recommended.
