Statistics And Data Analysis
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Introduction To Statistics And Data Analysis For Physicists
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Author : Gerhard Bohm
language : de
Publisher:
Release Date : 2010
Introduction To Statistics And Data Analysis For Physicists written by Gerhard Bohm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Mathematical Statistics And Data Analysis
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Author : John A. Rice
language : en
Publisher: Brooks/Cole
Release Date : 2007
Mathematical Statistics And Data Analysis written by John A. Rice and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.
This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book’s approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book’s descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Statistics And Data Analysis Essentials
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Author : Jayant Ramaswamy
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Statistics And Data Analysis Essentials written by Jayant Ramaswamy and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.
"Statistics and Data Analysis Essentials" is a comprehensive guide that helps readers master statistical concepts and their practical applications. Crafted by experts, this textbook combines clear explanations, real-world examples, and engaging exercises to enhance learning. We cover a broad spectrum of topics, including descriptive statistics, inferential statistics, regression analysis, and hypothesis testing, making each section accessible to learners of all levels. Real-life case studies from diverse fields such as economics, psychology, biology, and engineering demonstrate the relevance of statistical methods. Each chapter offers exercises from basic calculations to complex data analysis tasks, helping readers practice and solidify their skills. A detailed glossary provides clear definitions of key statistical terms, and additional resources, including datasets and software tutorials, are available to further support the learning experience. "Statistics and Data Analysis Essentials" is ideal for undergraduate and graduate students, as well as professionals and researchers looking to enhance their statistical expertise for practical applications.
Data Analysis And Regression
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Author : Frederick Mosteller
language : en
Publisher: Pearson
Release Date : 1977
Data Analysis And Regression written by Frederick Mosteller and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.
Textbook on statistical analysis and data analysis - presents practical evaluation techniques, focusing on the computing and graphical fitting of regression. Bibliography after each chapter and statistical tables.
Environmental Statistics And Data Analysis
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Author : Wayne R. Ott
language : en
Publisher: Routledge
Release Date : 2018-12-13
Environmental Statistics And Data Analysis written by Wayne R. Ott and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-13 with Mathematics categories.
This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, but without omitting importa
Introduction To Statistics And Data Analysis
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Author : Christian Heumann
language : en
Publisher: Springer
Release Date : 2017-01-26
Introduction To Statistics And Data Analysis written by Christian Heumann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-26 with Mathematics categories.
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
Statistics And Data Analysis Literacy For Nurses
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Author : James B. Schreiber
language : en
Publisher: Springer Publishing Company
Release Date : 2022-10-31
Statistics And Data Analysis Literacy For Nurses written by James B. Schreiber and has been published by Springer Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-31 with Medical categories.
Takes the fear out of statistics through a combination of visual and practical learning! "Statistical acumen and confidence have evaded many nurses for multiple reasons requiring educators to find alternate ways to bridge this knowledge gap. [This book] fills a void and meets this need. Students and educators alike will benefit from its straightforward, pragmatic style in explaining applied statistical analysis. Drawing on the deep expertise of its authors, the book should become a go-to reference for anyone looking to gain knowledge in applied statistics." —Mary Ellen Smith Glasgow, PhD, RN, ACNS-BC, ANEF, FAAN Dean and Professor Duquesne University School of Nursing The only biostatistics resource written specifically for MSN and DNP nursing students, this text provides a unique graphic representation of data to help students understand difficult analytic information. Modelled on an effective and proven method of learning—graphical illustrations first, technical details second—the text helps students understand appropriate research design, measurement, and analysis of how results are calculated. Providing a gentle progression into the complexities of statistics, it builds upon concepts step-by-step, helping students to reinforce prior knowledge before moving on the new information. Chapters initially focus on the practical application of content to illustrate how statistics are used, followed by working examples—addressing both research and evidence-based content and epidemiology and population health content—to enhance understanding and underscore the importance of the methodology. The book integrates the latest changes from the ASA related to statistical significance tested and addresses recent deliberations about sample size. Abundant Instructor Resources include PowerPoints, a test bank, data sets, information on how to obtain online programming classes, and sample lesson plans and activities. Key Features: Uses a proven, step-by-step method including a graphic representation of data followed by analytic content Follows graphical representation with examples of appropriate research design, measurement, and analysis of how results are calculated Includes a basic review checklist Provides chapter objectives, summaries, review questions, and key terms Offers data sets for those instructors/students who wish to do analyses Addresses SPSS and other software, including open source (JAMOVI, JASP, and R-Studio) Includes a comprehensive Instructor Resource Package to ensure faculty have the tools they need to work with students
Statistics And Data Analysis In Geochemical Prospecting
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Author : R.J. Howarth
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Statistics And Data Analysis In Geochemical Prospecting written by R.J. Howarth and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Technology & Engineering categories.
Handbook of Exploration Geochemistry, Volume 2: Statistics and Data Analysis in Geochemical Prospecting aims to survey the techniques available for the quality control of laboratory data, storage and retrieval of field and laboratory information, statistical analysis of single- and multi-element data, and presentation of geochemical data as maps. The selection first elaborates on data storage and retrieval, control procedures in geochemical analysis, and univariate analysis. Discussions focus on analysis of variance, density distribution, probability graphs, statistical basis of analytical quality control, laboratory control procedures, data storage media, data organization, programming considerations, and generalized data systems. The book then takes a look at sampling methodology, mapping, and multivariate analysis. Concerns cover correlation, cluster analysis, regression, partial correlation, class selection techniques, map filtering techniques, cross-correlation maps, strategies for optimum sampling design, and search techniques. The manuscript elaborates on examples of geochemical data processing in Africa, mathematical and statistical activity in North America, statistical models for geochemical anomalies, geochemical characterization of tin granites in northern Thailand, and use of pattern classification methods in till geochemistry. The selection is highly recommended for researchers interested in statistics and data analysis in geochemical prospecting.
Statistics And Data Analysis For Microarrays Using R And Bioconductor
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Author : Sorin Draghici
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Statistics And Data Analysis For Microarrays Using R And Bioconductor written by Sorin Draghici and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. New to the Second EditionCompletely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for all routines is available on an accompanying downloadable resource. With all the necessary prerequisites included, this best-selling book guides students from very basic notions to advanced analysis techniques in R and Bioconductor. The first half of the text presents an overview of microarrays and the statistical elements that form the building blocks of any data analysis. The second half introduces the techniques most commonly used in the analysis of microarray data.
Introductory Criminal Justice Statistics And Data Analysis
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Author : Irina R. Soderstrom
language : en
Publisher: Waveland Press
Release Date : 2015-09-13
Introductory Criminal Justice Statistics And Data Analysis written by Irina R. Soderstrom and has been published by Waveland Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-13 with Social Science categories.
The latest edition of this user-friendly statistics and data analysis text is enriched by updated material and the successful teaching and research experiences of the lead author and new coauthor, Kristie Blevins. Their goal is to help students understand the logic of statistical reasoning and expose them to a variety of research situations in the context of criminal justice. The authors present basic statistical principles and practices on which students build knowledge and data analysis skills. Both mathematical procedures and guidelines for using SPSS to manipulate information are included. Straightforward explanations and meaningful examples strengthen the concepts for those seeking a solid foundation for conducting scientific research and learning how to interpret and write up results. Multiple-choice questions and SPSS project assignments reinforce how statistical knowledge can be applied to the field of criminal justice. Introductory Criminal Justice Statistics and Data Analysis is an essential tool for criminal justice departments and programs wishing to build strong quantitative components in their curricula.