Quantitative Data Analysis With Ibm Spss 17 18 19

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Quantitative Data Analysis with IBM SPSS 17, 18 & 19

Author : Alan Bryman
Publisher : Routledge
ISBN 13 : 1136588892
Total Pages : 410 pages
Book Rating : 4.1/5 (365 download)

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Book Synopsis Quantitative Data Analysis with IBM SPSS 17, 18 & 19 by : Alan Bryman

Download or read book Quantitative Data Analysis with IBM SPSS 17, 18 & 19 written by Alan Bryman and published by Routledge. This book was released on 2012-08-21 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16. As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them. No previous experience of statistics or computing is required as this book provides a step-by-step guide to statistical techniques, including: Non-parametric tests Correlation Simple and multiple regression Analysis of variance and covariance Factor analysis. This book comes equipped with a comprehensive range of exercises for further practice, and it covers key issues such as sampling, statistical inference, conceptualization and measurement and selection of appropriate tests. The authors have also included a helpful glossary of key terms. The data sets used in Quantitative Data Analysis with IBM SPSS 17, 18 and 19 are available online at http://www.routledgetextbooks.com/textbooks/_author/bryman-9780415579193/; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available free of charge to lecturers who adopt the book.

Quantitative Data Analysis with SPSS 12 and 13

Author : Alan Bryman
Publisher : Psychology Press
ISBN 13 : 9780415340809
Total Pages : 404 pages
Book Rating : 4.3/5 (48 download)

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Book Synopsis Quantitative Data Analysis with SPSS 12 and 13 by : Alan Bryman

Download or read book Quantitative Data Analysis with SPSS 12 and 13 written by Alan Bryman and published by Psychology Press. This book was released on 2005 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS. It takes the reader step-by-step through the techniques, reinforced by exercises.

Performing Data Analysis Using IBM SPSS

Author : Lawrence S. Meyers
Publisher : John Wiley & Sons
ISBN 13 : 1118357019
Total Pages : 741 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis Performing Data Analysis Using IBM SPSS by : Lawrence S. Meyers

Download or read book Performing Data Analysis Using IBM SPSS written by Lawrence S. Meyers and published by John Wiley & Sons. This book was released on 2013-08-12 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.

Quantitative Data Analysis with SPSS for Windows

Author : Alan Bryman
Publisher : Psychology Press
ISBN 13 : 9780415147194
Total Pages : 313 pages
Book Rating : 4.1/5 (471 download)

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Book Synopsis Quantitative Data Analysis with SPSS for Windows by : Alan Bryman

Download or read book Quantitative Data Analysis with SPSS for Windows written by Alan Bryman and published by Psychology Press. This book was released on 1997-01 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Data Analysis with SPSS for Windows explains statistical tests using the latest version of SPSS, the most widely used computer package for analysing quantitative data. Using the same formula-free, non-technical approach as the highly successful non-windows version, it assumes no previous familiarity with either statistics or computing, and takes the reader step-by-step through each of the techniques for which SPSS for Windows can be used, including: correlation simple and multiple regression multivariate analysis of variance and covariance factor analysis The book also contains a comprehensive range of exercises with answers, and covers issues such as sampling, statistical significance, and the selection of appropriate tests.

Adventures in Social Research

Author : Earl R. Babbie
Publisher : Pine Forge Press
ISBN 13 : 1412982448
Total Pages : 457 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Adventures in Social Research by : Earl R. Babbie

Download or read book Adventures in Social Research written by Earl R. Babbie and published by Pine Forge Press. This book was released on 2011 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Click on the Supplements tab above for further details on the different versions of SPSS programs.

An Introduction to Secondary Data Analysis with IBM SPSS Statistics

Author : John MacInnes
Publisher : SAGE
ISBN 13 : 1473987717
Total Pages : 417 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis An Introduction to Secondary Data Analysis with IBM SPSS Statistics by : John MacInnes

Download or read book An Introduction to Secondary Data Analysis with IBM SPSS Statistics written by John MacInnes and published by SAGE. This book was released on 2016-12-05 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.

IBM SPSS Statistics 19 Made Simple

Author : Colin D. Gray
Publisher : Psychology Press
ISBN 13 : 1848720696
Total Pages : 688 pages
Book Rating : 4.8/5 (487 download)

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Book Synopsis IBM SPSS Statistics 19 Made Simple by : Colin D. Gray

Download or read book IBM SPSS Statistics 19 Made Simple written by Colin D. Gray and published by Psychology Press. This book was released on 2012 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text combines simplicity and clarity of presentation with a comprehensive treatment of the use of SPSS19 for the analysis and interpretation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition.

Quantitative Data Analysis for Social Scientists

Author : Alan Bryman
Publisher : Taylor & Francis
ISBN 13 : 9780415026659
Total Pages : 290 pages
Book Rating : 4.0/5 (266 download)

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Book Synopsis Quantitative Data Analysis for Social Scientists by : Alan Bryman

Download or read book Quantitative Data Analysis for Social Scientists written by Alan Bryman and published by Taylor & Francis. This book was released on 1990-01-01 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Discovering Statistics Using IBM SPSS Statistics

Author : Andy Field
Publisher : SAGE
ISBN 13 : 152644030X
Total Pages : 2051 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Discovering Statistics Using IBM SPSS Statistics by : Andy Field

Download or read book Discovering Statistics Using IBM SPSS Statistics written by Andy Field and published by SAGE. This book was released on 2017-11-03 with total page 2051 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an exciting new look, math diagnostic tool, and a research roadmap to navigate projects, this new edition of Andy Field’s award-winning text offers a unique combination of humor and step-by-step instruction to make learning statistics compelling and accessible to even the most anxious of students. The Fifth Edition takes students from initial theory to regression, factor analysis, and multilevel modeling, fully incorporating IBM SPSS Statistics© version 25 and fascinating examples throughout. SAGE edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning. Course cartridges available for Blackboard, Canvas, and Moodle. Andy Field is the award winning author of An Adventure in Statistics: The Reality Enigma and is the recipient of the UK National Teaching Fellowship (2010), British Psychological Society book award (2006), and has been recognized with local and national teaching awards (University of Sussex, 2015, 2016).

Medical Statistics

Author : Jennifer Peat
Publisher : John Wiley & Sons
ISBN 13 : 0470755202
Total Pages : 336 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Medical Statistics by : Jennifer Peat

Download or read book Medical Statistics written by Jennifer Peat and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Holistic approach to understanding medical statistics This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research. Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs. Showing you how to: analyse data with the help of data set examples (Click here to download datasets) select the correct statistics and report results for publication or presentation understand and critically appraise results reported in the literature Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites. Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.

Data Analysis with IBM SPSS Statistics

Author : Kenneth Stehlik-Barry
Publisher : Packt Publishing Ltd
ISBN 13 : 1787280705
Total Pages : 435 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Data Analysis with IBM SPSS Statistics by : Kenneth Stehlik-Barry

Download or read book Data Analysis with IBM SPSS Statistics written by Kenneth Stehlik-Barry and published by Packt Publishing Ltd. This book was released on 2017-09-22 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master data management & analysis techniques with IBM SPSS Statistics 24 About This Book Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks Who This Book Is For This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods. What You Will Learn Install and set up SPSS to create a working environment for analytics Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data How to import different kinds of data and work with it Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data) Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations) Explore multivariate relationships Leverage the offerings to draw accurate insights from your research, and benefit your decision-making In Detail SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease. Style and approach Provides a practical orientation to understanding a set of data and examining the key relationships among the data elements. Shows useful visualizations to enhance understanding and interpretation. Outlines a roadmap that focuses the process so decision regarding how to proceed can be made easily.

Data Analysis in Management with SPSS Software

Author : J.P. Verma
Publisher : Springer Science & Business Media
ISBN 13 : 8132207866
Total Pages : 499 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Data Analysis in Management with SPSS Software by : J.P. Verma

Download or read book Data Analysis in Management with SPSS Software written by J.P. Verma and published by Springer Science & Business Media. This book was released on 2012-12-13 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.

Multilevel and Longitudinal Modeling with IBM SPSS

Author : Ronald H. Heck
Publisher : Routledge
ISBN 13 : 1135074240
Total Pages : 835 pages
Book Rating : 4.1/5 (35 download)

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Book Synopsis Multilevel and Longitudinal Modeling with IBM SPSS by : Ronald H. Heck

Download or read book Multilevel and Longitudinal Modeling with IBM SPSS written by Ronald H. Heck and published by Routledge. This book was released on 2013-08-22 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. It's ideal for courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology.

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Author : Ronald H Heck
Publisher : Routledge
ISBN 13 : 1136672346
Total Pages : 449 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Multilevel Modeling of Categorical Outcomes Using IBM SPSS by : Ronald H Heck

Download or read book Multilevel Modeling of Categorical Outcomes Using IBM SPSS written by Ronald H Heck and published by Routledge. This book was released on 2013-05-07 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

IBM SPSS Statistics 26 Step by Step

Author : Darren George
Publisher : Routledge
ISBN 13 : 0429616325
Total Pages : 403 pages
Book Rating : 4.4/5 (296 download)

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Book Synopsis IBM SPSS Statistics 26 Step by Step by : Darren George

Download or read book IBM SPSS Statistics 26 Step by Step written by Darren George and published by Routledge. This book was released on 2019-12-06 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference, sixteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multi-dimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression and a chapter describing residuals. Back matter includes a description of data files used in exercises, an exhaustive glossary, suggestions for further reading and a comprehensive index. IMB SPSS Statistics 26 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 26 How to handle missing data has been revised and expanded and now includes a detailed explanation of how to create regression equations to replace missing data More explicit coverage of how to report APA style statistics; this primarily shows up in the Output sections of Chapters 6 through 16, though changes have been made throughout the text.

Data Analysis with SPSS for Survey-based Research

Author : Saiyidi Mat Roni
Publisher : Springer Nature
ISBN 13 : 9811601933
Total Pages : 273 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data Analysis with SPSS for Survey-based Research by : Saiyidi Mat Roni

Download or read book Data Analysis with SPSS for Survey-based Research written by Saiyidi Mat Roni and published by Springer Nature. This book was released on 2021-06-21 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data. Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data.

Quantitative Analysis and IBM® SPSS® Statistics

Author : Abdulkader Aljandali
Publisher : Springer
ISBN 13 : 3319455281
Total Pages : 184 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Quantitative Analysis and IBM® SPSS® Statistics by : Abdulkader Aljandali

Download or read book Quantitative Analysis and IBM® SPSS® Statistics written by Abdulkader Aljandali and published by Springer. This book was released on 2016-11-08 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.