Applied Statistics With Spss
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Applied Statistics Using Spss Statistica And Matlab
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Author : Joaquim P. Marques de Sá
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Applied Statistics Using Spss Statistica And Matlab written by Joaquim P. Marques de Sá and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.
Applied Statistics With Spss
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Author : Eelko Huizingh
language : en
Publisher:
Release Date : 2007
Applied Statistics With Spss written by Eelko Huizingh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with SPSS (Computer file) categories.
Applied Statistics Using Spss Statistica Matlab And R
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Author : Joaquim P. Marques de Sá
language : en
Publisher: Springer
Release Date : 2009-09-02
Applied Statistics Using Spss Statistica Matlab And R written by Joaquim P. Marques de Sá and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-02 with Mathematics categories.
Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.
Applied Statistics With Spss
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Author : Eelko Huizingh
language : en
Publisher: SAGE
Release Date : 2007-01-24
Applied Statistics With Spss written by Eelko Huizingh and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-24 with Social Science categories.
Accessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. Based around the needs of undergraduate students embarking on their own research project, the text′s self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of doing their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms and worked examples. Divided into two parts, Applied Statistics Using SPSS covers : 1. A self-study guide for learning how to use SPSS. 2. A reference guide for selecting the appropriate statistical technique and a stepwise do-it-yourself guide for analysing data and interpreting the results. 3. Readers of the book can download the SPSS data file that is used for most of the examples throughout the book. Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.
Applied Statistics
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Author : Sá
language : en
Publisher:
Release Date : 2007
Applied Statistics written by Sá and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Data Analysis With Spss
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Author : Stephen A. Sweet
language : en
Publisher:
Release Date : 1999
Data Analysis With Spss written by Stephen A. Sweet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
This text is designed to teach students how to explore data in a systematic manner using the most popular professional statistics program for social scientists on the market today, SPSS. The book is organised to guide students through the logic of data analysis, from exploring data sets all the way through multivariate analysis and the writing of a research report. *Provides a hands-on approach to teaching statistics. *Focuses on applying statistical measures to understanding social behaviour, rather than on the process of calculating these statistics. *Utilizes a research project approach. *Features end of chapter guided exercises that help students to develop the skills of data analysis in an incremental fashion.
Applied Statistics
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Author : J. P. Marques de Sá
language : en
Publisher:
Release Date : 2007
Applied Statistics written by J. P. Marques de Sá and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with MATLAB. categories.
Data Analysis With Spss Ech Master
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Author : Stephen A. Sweet
language : en
Publisher:
Release Date : 2006
Data Analysis With Spss Ech Master written by Stephen A. Sweet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with SPSS for Windows categories.
Introduction To Real World Statistics
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Author : Edward T. Vieira, Jr.
language : en
Publisher: Routledge
Release Date : 2017-03-09
Introduction To Real World Statistics written by Edward T. Vieira, Jr. and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-09 with Education categories.
Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation; an introduction to the concept of probability; data screening and descriptive statistics; various inferential analysis techniques; and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject, equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions. Notable features include: short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making statistical procedures presented in a practical context with less emphasis on technical jargon early chapters that build a foundation before presenting statistical procedures SPSS step-by-step detailed instructions designed to reinforce student understanding real world exercises complete with answers chapter PowerPoints and test banks for instructors.
Applied Statistics And Multivariate Data Analysis For Business And Economics
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Author : Thomas Cleff
language : en
Publisher:
Release Date : 2019
Applied Statistics And Multivariate Data Analysis For Business And Economics written by Thomas Cleff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.
This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.