Advertisement

Quantitative Analysis and IBM® SPSS® Statistics

A Guide for Business and Finance

  • Abdulkader Aljandali

Part of the Statistics and Econometrics for Finance book series (SEFF)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Introduction to IBM SPSS Statistics

    1. Front Matter
      Pages 1-1
    2. Abdulkader Aljandali
      Pages 3-25
  3. Data Examination and Description

    1. Front Matter
      Pages 27-27
    2. Abdulkader Aljandali
      Pages 53-73
  4. Hypothesis Tests

    1. Front Matter
      Pages 87-87
    2. Abdulkader Aljandali
      Pages 89-102
    3. Abdulkader Aljandali
      Pages 103-115
  5. Methods of Business Forecasting

    1. Front Matter
      Pages 117-117
    2. Abdulkader Aljandali
      Pages 119-132
    3. Abdulkader Aljandali
      Pages 133-153
  6. Other Useful Features of IBM SPSS Statistics

    1. Front Matter
      Pages 155-155
    2. Abdulkader Aljandali
      Pages 157-170
  7. Back Matter
    Pages 181-184

About this book

Introduction

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.


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.

Keywords

data analysis correlation forecast diagnostic univariate frequencies SPSS Mann-Whitney test Kruskal-Wallis test logistic regression multivariate regression big data

Authors and affiliations

  • Abdulkader Aljandali
    • 1
  1. 1.Accounting, Finance and Economics DepartmentRegent’s UniversityLondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-45528-0
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-45527-3
  • Online ISBN 978-3-319-45528-0
  • Series Print ISSN 2199-093X
  • Series Online ISSN 2199-0948
  • Buy this book on publisher's site