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Guide To Practical Statistics
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Book Synopsis Practical Statistics for the Analytical Scientist by : S. L. R. Ellison
Download or read book Practical Statistics for the Analytical Scientist written by S. L. R. Ellison and published by Royal Society of Chemistry. This book was released on 2009 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This manual is designed to assist analytical chemists who have to use a range of statistical tools in their treatment of experimental data to obtain reliable results.
Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2020-04-10 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data
Book Synopsis Guide to Practical Statistics by : Jacques Pietersen
Download or read book Guide to Practical Statistics written by Jacques Pietersen and published by HSRC Press. This book was released on 1998-12 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is intended to make researchers, particularly social science researchers, aware of the statistical methodologies used in the analysis of research data.
Book Synopsis Practical Statistics by : Mary Rouncefield
Download or read book Practical Statistics written by Mary Rouncefield and published by . This book was released on 1989 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Study Guide for Practical Statistics for Educators by : Ruth Ravid
Download or read book Study Guide for Practical Statistics for Educators written by Ruth Ravid and published by Rowman & Littlefield Publishers. This book was released on 2010-04-16 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of the Study Guide for Practical Statistics for Educators serves as a user-friendly and accessible way for students to better understand the concepts introduced in its companion textbook, Practical Statistics for Educators. With clear and straightforward exercises, the workbook allows students to reinforce their knowledge of statistics. Most importantly, students are given the answers and an explanation for why the correct answer is the better than the other choices. New in this edition are accompanying Excel exercises.
Book Synopsis Statistical Data Analysis by : Meloun Milan
Download or read book Statistical Data Analysis written by Meloun Milan and published by . This book was released on 2011 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Book Synopsis Practical Statistics by : David Kremelberg
Download or read book Practical Statistics written by David Kremelberg and published by SAGE Publications. This book was released on 2010-03-18 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Book Synopsis Practical Statistics by : David Kremelberg
Download or read book Practical Statistics written by David Kremelberg and published by . This book was released on 2011 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in SPSS, Stata, & other programmes. David Kremelberg begins his user-friendly text by covering charts & graphs through regression, time-series analysis, & factor analysis.
Book Synopsis Practical Statistics for Nursing and Health Care by : Jim Fowler
Download or read book Practical Statistics for Nursing and Health Care written by Jim Fowler and published by John Wiley & Sons. This book was released on 2013-06-17 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nursing is a growing area of higher education, in which an introduction to statistics is an essential component. There is currently a gap in the market for a 'user-friendly' book which is contextulised and targeted for nursing. Practical Statistics for Nursing and Health Care introduces statistical techniques in such a way that readers will easily grasp the fundamentals to enable them to gain the confidence and understanding to perform their own analysis. It also provides sufficient advice in areas such as clinical trials and epidemiology to enable the reader to critically appraise work published in journals such as the Lancet and British Medical Journal. * Covers all basic statistical concepts and tests * Is user-friendly - avoids excessive jargon * Includes relevant examples for nurses, including case studies and data sets * Provides information on further reading * Starts from first principles and progresses step by step * Includes 'advice on' sections for all of the tests described
Book Synopsis Practical Statistics for the Analytical Scientist by : Trevor J. Farrant
Download or read book Practical Statistics for the Analytical Scientist written by Trevor J. Farrant and published by . This book was released on 1997-01-01 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytical chemists must use a range of statistical tools in their treatment of experimental data to obtain reliable results. Practical Statistics for the Analytical Scientist is a manual designed to help them negotiate the daunting specialist terminology and symbols. Prepared in conjunction with the Department of Trade and Industry's Valid Analytical Measurement (VAM) programme, this volume covers the basic statistics needed in the laboratory. It describes the statistical procedures that are most likely to be required including summary and descriptive statistics, calibration, outlier testing, analysis of variance and basic quality control procedures. To improve understanding, many examples provide the user with material for consolidation and practice. The fully worked answers are given both to check the correct application of the procedures and to provide a template for future problems. Practical Statistics for the Analytical Scientist will be welcomed by practising analytical chemists as an important reference for day to day statistics in analytical chemistry.
Book Synopsis Practical Statistics for Educators by : Ruth Ravid
Download or read book Practical Statistics for Educators written by Ruth Ravid and published by Rowman & Littlefield Publishers. This book was released on 2019-12-13 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Statistic for Educators, 6th Edition is a clear and easy-to-follow book written specifically for education students in introductory statistics and action research courses. It is also an invaluable resource and guidebook for educational practitioners who wish to study their own settings and for those involved in program evaluation. The focus of the book is on essential concepts in educational statistics, understanding when to use various statistical tests, and how to interpret results. This book introduces educational students and practitioners to the use of statistics in education and basic concepts in statistics are explained in clear language. All of the examples used to explain the use of statistics in educational research are taken from the field of education and serve to illustrate the various concepts, terms, statistical tests, and data interpretations that are discussed in the book. Formulas and equations are used sparingly and readers are not required to do any computations. The book also includes a discussion of testing, test score interpretation, reliability, and validity. A chapter on survey design and analysis provide the book readers with examples which demonstrate how the different statistical tests introduced in the book can be used to analyzed survey data. Chapter previews are provided, as well as succinct end-of-chapter summaries. The book’s glossary of main terms and concepts helps readers navigate the book and easily find useful information. Review exercises are included at the end of the book to allow readers to practice and apply their newly-acquired knowledge and skills.
Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by O'Reilly Media. This book was released on 2020-04-10 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data
Book Synopsis Practical Statistics for Data Scientists by : Peter C. Bruce
Download or read book Practical Statistics for Data Scientists written by Peter C. Bruce and published by . This book was released on 2017 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you'll learn: Why exploratory data analysis is a key preliminary step in data science ; How random sampling can reduce bias and yield a higher quality dataset, even with big data ; How the principles of experimental design yield definitive answers to questions ; How to use regression to estimate outcomes and detect anomalies ; Key classification techniques for predicting which categories a record belongs to ; Statistical machine learning methods that 'learn' from data ; Unsupervised learning methods for extracting meaning from unlabeled data"--Provided by publisher.
Book Synopsis Introduction to Practical Statistics by : McCabe Moore
Download or read book Introduction to Practical Statistics written by McCabe Moore and published by . This book was released on 2002-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Practical Statistics for Students by : Louis Cohen
Download or read book Practical Statistics for Students written by Louis Cohen and published by SAGE. This book was released on 1996-09-28 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.
Book Synopsis Practical Statistics for Geographers and Earth Scientists by : Nigel Walford
Download or read book Practical Statistics for Geographers and Earth Scientists written by Nigel Walford and published by John Wiley & Sons. This book was released on 2011-07-05 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context. This book helps students to gain the level of competence in statistical procedures necessary for independent investigations, field-work and other projects. The aim is to explain statistical techniques using data relating to relevant geographical, geospatial, earth and environmental science examples, employing graphics as well as mathematical notation for maximum clarity. Advice is given on asking the appropriate preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical guide to making the transition from understanding principles of spatial and non-spatial statistical techniques to planning a series analyses and generating results using statistical and spreadsheet computer software. Learning outcomes included in each chapter International focus Explains the underlying mathematical basis of spatial and non-spatial statistics Provides an geographical, geospatial, earth and environmental science context for the use of statistical methods Written in an accessible, user-friendly style Datasets available on accompanying website at www.wiley.com/go/Walford
