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Author : Russell Langley
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (64 download)
Download or read book Practical Statistics Simply Explained written by Russell Langley and published by . This book was released on 1970 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dr. Russell A. Langley
Publisher : Courier Corporation
ISBN 13 : 0486317277
Total Pages : 419 pages
Book Rating : 4.4/5 (863 download)
Download or read book Practical Statistics Simply Explained written by Dr. Russell A. Langley and published by Courier Corporation. This book was released on 2013-04-26 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Primer on how to draw valid conclusions from numerical data using logic and the philosophy of statistics rather than complex formulae. Discusses averages and scatter, investigation design, more. Problems, solutions.
Author : Peter Bruce
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491952911
Total Pages : 322 pages
Book Rating : 4.4/5 (919 download)
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 322 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
Author : David Kremelberg
Publisher : SAGE Publications
ISBN 13 : 150631791X
Total Pages : 529 pages
Book Rating : 4.5/5 (63 download)
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 529 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.
Author : Russell Langley
Publisher :
ISBN 13 :
Total Pages : 399 pages
Book Rating : 4.:/5 (18 download)
Download or read book Practical Statistic Simply Explained written by Russell Langley and published by . This book was released on 1971 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David Kremelberg
Publisher : SAGE Publications
ISBN 13 : 1483350134
Total Pages : 529 pages
Book Rating : 4.4/5 (833 download)
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 529 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.
Author : Ruth Ravid
Publisher : Rowman & Littlefield
ISBN 13 : 1538191717
Total Pages : 335 pages
Book Rating : 4.5/5 (381 download)
Download or read book Practical Statistics for Educators written by Ruth Ravid and published by Rowman & Littlefield. This book was released on 2024-07-23 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Statistics for Educators, Seventh 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 book’s focus is on essential concepts in educational statistics, understanding when to use various statistical tests, and learning how to interpret results. This book introduces education students and practitioners to the use of parametric and nonparametric statistics in education, and basic concepts in statistics are explained in clear language. 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 provides readers with examples that demonstrate how the different statistical tests introduced in the book can be used to analyze survey data. An extensive study guide at the end of the book provides an opportunity to review all the information that was presented in the book; the guide includes an answer key with a clear explanation of each correct answer. Throughout this text, examples taken from the field of education serve to illustrate the various concepts, terms, statistical tests, and data interpretations.
Author : Peter Bedson
Publisher : Royal Society of Chemistry
ISBN 13 : 1839164433
Total Pages : 401 pages
Book Rating : 4.8/5 (391 download)
Download or read book Practical Statistics for the Analytical Scientist written by Peter Bedson and published by Royal Society of Chemistry. This book was released on 2021-04-08 with total page 401 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.
Author : Russell Langley
Publisher :
ISBN 13 :
Total Pages : 399 pages
Book Rating : 4.:/5 (396 download)
Download or read book Practical Statistics written by Russell Langley and published by . This book was released on 1968 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Daniel Schiff
Publisher : John Wiley & Sons
ISBN 13 : 9780471547686
Total Pages : 330 pages
Book Rating : 4.5/5 (476 download)
Download or read book Practical Engineering Statistics written by Daniel Schiff and published by John Wiley & Sons. This book was released on 1995-12-12 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: PRACTICAL ENGINEERING STATISTICS This lucidly written book offers engineers and advanced studentsall the essential statistical methods and techniques used inday-to-day engineering work. Without unnecessary digressions intoformal proofs or derivations, Practical Engineering Statisticsshows how to select the appropriate statistical method for aspecific task and then how to apply it correctly and confidently.Clear explanations supported by real-world examples lead the readerstep-by-step through each procedure. Topics covered include productdesign and development; estimations of the mean value andvariability of measured data; comparison of processes or products;the relationships between variables; and more. With its emphasis on practical use and its full range ofengineering applications, Practical Engineering Statistics servesas an indispensable, time-saving reference for all engineersworking in design, reliability, assurance, scheduling, andmanufacturing. PRACTICAL ENGINEERING STATISTICS While engineers are frequently involved in projects that requirethe application of statistical methods to analysis, prediction, andplanning, their background in statistics is often insufficient tothe task. In many cases the engineer has had little training instatistics beyond the concepts of the mean, the standard deviation,the median, and the quartile. Even those who have had one or morecourses in statistics will, at times, encounter problems which arebeyond their capacity to solve or understand. Practical Engineering Statistics is designed to give engineers theknowledge to select the statistical approach that is mostappropriate to the problem at hand and the skills to confidentlyapply this approach to specific cases. It provides the engineerwith the statistical tools needed to perform the job effectively,whether it is pro-duct design and development, estimation of themean value and variability of measured data, comparison ofprocesses or products, or the relationship between variables. Its authors bring two different areas of expertise to this uniquebook: statistics and engineering physics. In Practical EngineeringStatistics their collaboration has produced a book that clearlyleads engineers step-by-step through each procedure, withouttime-consuming and unnecessary discussions of proofs andderivations. Statistical procedures are discussed and explained indetail and demonstrated through real-world sample problems, withcorrect answers always provided. Readers learn how to determinewhich data represent true observations and which, through humanerror or flawed data, are false observations. Complex problems are presented with computer printouts of thedatabase, intermediate steps, and results. Numerous illustrationsand tables of all commonly used distributions enhance theusefulness of this invaluable book. Virtually all engineers and advanced students, especially those inmechanical, civil, electrical, aerospace, and chemical engineering,Practical Engineering Statistics is an indispensable reference thatwill give them the tools to do the statistical part of their workquickly and accurately.
Author : Liwen Vaughan
Publisher : Information Today, Inc.
ISBN 13 : 9781573871105
Total Pages : 248 pages
Book Rating : 4.8/5 (711 download)
Download or read book Statistical Methods for the Information Professional written by Liwen Vaughan and published by Information Today, Inc.. This book was released on 2001 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: For most of us, "painless" is not the word that comes to mind when we think of statistics, but author and educator Liwen Vaughan wants to change that. In this unique and useful book, Vaughan clearly explains the statistical methods used in information science research, focusing on basic logic rather than mathematical intricacies. Her emphasis is on the meaning of statistics, when and how to apply them, and how to interpret the results of statistical analysis. Through the use of real-world examples, she shows how statistics can be used to improve services, make better decisions, and conduct more effective research. Whether you are doing statistical analysis or simply need to better understand the statistics you encounter in professional literature and the media, this book will be a valuable addition to your personal toolkit. Includes more than 80 helpful figures and tables, 7 appendices, bibliography, index.
Author : Peter Bruce
Publisher : O'Reilly Media
ISBN 13 : 1492072915
Total Pages : 363 pages
Book Rating : 4.4/5 (92 download)
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
Author : Alan G. Clewer
Publisher : John Wiley & Sons
ISBN 13 : 1118685660
Total Pages : 315 pages
Book Rating : 4.1/5 (186 download)
Download or read book Practical Statistics and Experimental Design for Plant and Crop Science written by Alan G. Clewer and published by John Wiley & Sons. This book was released on 2013-06-17 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.
Author : Stephen Ashcroft
Publisher : Palgrave
ISBN 13 : 9780333960448
Total Pages : 168 pages
Book Rating : 4.9/5 (64 download)
Download or read book Practical Statistics for the Biological Sciences written by Stephen Ashcroft and published by Palgrave. This book was released on 2002-12-18 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Statistics for the Biological Sciences is a handbook of statistical methods for use by workers in the biological sciences at all levels from undergraduate to post-doctoral researcher. The book presents, in a clear and compact form, the most common statistical tests used in the biosciences. It provides a series of flow charts to help in selecting the appropriate test. Each test is described concisely and illustrated by worked examples. The text is accompanied by a CD-ROM containing both Windows and Apple Macintosh versions of PractiStat, a new programme for statistical analysis. PractiStat can be used both as a teaching aid to work through the examples provided and as a valuable, easy to use tool for analysis of the users' own data. The programme provides a simple, intuitive interface and permits the application of the common statistical tests and procedures used by bioscientists.
Author : Andrew F. Siegel
Publisher : McGraw-Hill Companies
ISBN 13 : 9780256242171
Total Pages : 0 pages
Book Rating : 4.2/5 (421 download)
Download or read book Practical Business Statistics written by Andrew F. Siegel and published by McGraw-Hill Companies. This book was released on 1996-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Business Statistics, 5/e was written in response to instructors not wanting a formula driven, mathematically encyclopedic book. The use of computer applications means some topics no longer require coverage in detail. This allows future managers to know how to use and understand statistics. The text does this by using examples with real data that relate to the functional areas of business such as finance, accounting, and marketing. It de-emphasizes the theoretical, and presents the material in a well-written, easy style designed to motivate students. The emphasis is on understanding and applications as opposed to mathematical precision and formula detail.
Author : Hector Cuesta
Publisher : Packt Publishing Ltd
ISBN 13 : 1785286668
Total Pages : 330 pages
Book Rating : 4.7/5 (852 download)
Download or read book Practical Data Analysis written by Hector Cuesta and published by Packt Publishing Ltd. This book was released on 2016-09-30 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark About This Book Learn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your data Apply Machine Learning algorithms to different kinds of data such as social networks, time series, and images A hands-on guide to understanding the nature of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven algorithms in a practical way. It is also suitable for those without a background in data analysis or data processing. Basic knowledge of Python programming, statistics, and linear algebra is assumed. What You Will Learn Acquire, format, and visualize your data Build an image-similarity search engine Generate meaningful visualizations anyone can understand Get started with analyzing social network graphs Find out how to implement sentiment text analysis Install data analysis tools such as Pandas, MongoDB, and Apache Spark Get to grips with Apache Spark Implement machine learning algorithms such as classification or forecasting In Detail Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you'll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data processing. The concrete examples are explained with simple code and accessible data.
Author : Nigel Walford
Publisher : John Wiley & Sons
ISBN 13 : 1119957028
Total Pages : 385 pages
Book Rating : 4.1/5 (199 download)
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
