Overview
- Utilizes the popular and accessible IBM SPSS Statistics software package to teach data analysis for business and finance in a step-by-step approach
- A comprehensive, in-depth guide, especially relative to the competition
- Explains the statistical assumptions and rationales underpinning application of the SPSS package, instead of simply presenting techniques
- More than 100 color graphs and figures
- Includes directed download of the software IBM SPSS Statistics 22.
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics and Econometrics for Finance (SEFF)
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Table of contents (10 chapters)
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Front Matter
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Introduction to IBM SPSS Statistics
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Front Matter
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Data Examination and Description
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Front Matter
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Hypothesis Tests
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Front Matter
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Methods of Business Forecasting
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Front Matter
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Other Useful Features of IBM SPSS Statistics
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Front Matter
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Back Matter
Keywords
About this book
This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods.
IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S.
Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.
Reviews
“This excellent book is a must-read for any business student and practitioner who wants to develop their applied quantitative skills. The numerous practical examples make this book especially useful to learn new techniques. Any unnecessary jargon is avoided and the focus is on applying the techniques. The author guides the reader through the numerous examples with ease. This is not a statistics textbook but a very useful book for students and managers who need to learn, in the shortest time possible, how to analyse their own data using sophisticated quantitative techniques with SPSS.” (Dr. Sven Kuenzel, Reader in Marketing, Director of the Centre for Communication and Consumption Research [C3ORE], University of Greenwich Business School)
“This is an excellent textbook that integrates statistical techniques with real life examples via the usage of a commonly used software as SPSS. This book will be more than invaluable for students looking to use econometrics and statistics in their undergraduate studies. The user-friendly approach and the variety of examples will be much appreciated especially by those seeking to improve their understanding but still struggle to analyse economic and financial data.” (Dr. Christos Kallandranis, Lecturer in Finance, Department of Economics, University of Patras)
Authors and Affiliations
About the author
Abdulkader Aljandali, Ph.D., is a Senior Lecturer in Quantitative Finance and Business Forecasting at Regent’s University London. He acts as a visiting professor at overseas institutions in Canada, France, and Morocco.
Bibliographic Information
Book Title: Quantitative Analysis and IBM® SPSS® Statistics
Book Subtitle: A Guide for Business and Finance
Authors: Abdulkader Aljandali
Series Title: Statistics and Econometrics for Finance
DOI: https://doi.org/10.1007/978-3-319-45528-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-45527-3Published: 15 November 2016
Softcover ISBN: 978-3-319-83312-5Published: 05 July 2018
eBook ISBN: 978-3-319-45528-0Published: 08 November 2016
Series ISSN: 2199-093X
Series E-ISSN: 2199-0948
Edition Number: 1
Number of Pages: XXI, 184
Number of Illustrations: 24 b/w illustrations, 119 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Statistical Theory and Methods, Big Data/Analytics, Business Finance, Quantitative Finance
Industry Sectors: Biotechnology, Finance, Business & Banking