SPSS For Dummies

SPSS For Dummies

Paperback For Dummies

By (author) Arthur Griffith

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  • Publisher: John Wiley & Sons Ltd
  • Format: Paperback | 384 pages
  • Dimensions: 186mm x 232mm x 24mm | 558g
  • Publication date: 19 January 2010
  • Publication City/Country: Chichester
  • ISBN 10: 047048764X
  • ISBN 13: 9780470487648
  • Edition: 2, Revised
  • Edition statement: 2nd Revised edition
  • Sales rank: 63,690

Product description

The fun and friendly guide to the world's leading statistical software Predictive Analysis Software (PASW), formerly SPSS software, is the leading statistical software used by commerical, government, and academic organizations around the world to solve business and research problems. It allows you to quickly and easily discover new insights from data, test hypotheses, and build powerful predictive models. PASW Statistics For Dummies covers everything you need to know to get up and running with this efficient and practical software. PASW Statistics is the leading statistical software used to analyze data and create predictive models; it is used by business, academic, and government entities worldwide This guide explains how to work with automatic codebook generation and customize the variable view Walks you through the rounding method that is used in all calculations and explains using predictive analysis Shows how to maximize your use of graph templates, and much more Even if you have little or no statistical or mathematical background, PASW Statistics For Dummies will show you how to generate statistical support and decision-making information quickly and easily. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

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Author information

Arthur Griffith is a former computer consultant for the U.S. Department of Defense. After working for 25 years as a programmer and software development project manager, he became a writer of computer books and has now written 14 of them.

Back cover copy

Need to analyze some data? SPSS is your statistical friend -- let it crunch the numbers!Surprise -- this book is not about statistics. It's about using SPSS to calculate statistics for you! Here are step-by-step procedures you can follow to see how SPSS operates and start using it with your own data. You'll be able to enter data, produce graphs, use the statistical methods built into SPSS to generate the numbers you need, and much more.Predict the future -- use SPSS to identify business risks and opportunities Learn your way around -- install SPSS and set up the options to serve your needs Enter the data -- instruct SPSS to collect data from a database or another file, or type it in yourselfData in, data out -- export the results of your analysis for use in a database, Web page, Excel(R) worksheet, or Word document Go graphic -- create bar graphs, line charts, scatterplots, pie charts, histograms, and othersWelcome to analysis -- learn different ways SPSS can crunch numbers and how to get the analysis you're looking forExtend the possibilities -- customize SPSS with Command Syntax or create new scripts with Python(R) Your greatest asset -- protect your data and make regular backupsOpen the book and find: What you can and can't do with SPSSTypes of graphs and how to use them How to manually enter dataSuggestions for sorting, identifying, and grouping dataData types and how to use them What a scatterplot can show youHow to back up and protect your data A glossary of SPSS and statistics terms

Table of contents

Introduction. Part I: The Fundamental Mechanics of SPSS. Chapter 1: Introducing IBM SPSS Statistics. Chapter 2: Installing Software and Setting Options. Chapter 3: A Simple Statistical Analysis Example. Part II: Getting Data In and Out of SPSS. Chapter 4: Entering Data from the Keyboard. Chapter 5: Reading and Writing Files. Chapter 6: Data and Data Types. Chapter 7: Messing with the Data After It's in There. Chapter 8: Getting Data Out of SPSS. Part III: Graphing Data. Chapter 9: Fundamentals of Graphing. Chapter 10: Some Types of Graphs. Chapter 11: More Types of Graphs. Part IV: Analysis. Chapter 12: Executing an Analysis. Chapter 13: Some Analysis Examples. Part V: Programming SPSS with Command Syntax. Chapter 14: The Command Syntax Language. Chapter 15: Command Syntax Language Examples. Part VI: Programming SPSS with Python and Scripts. Chapter 16: The Python Programming Language. Chapter 17: Python inside SPSS. Chapter 18: Scripts. Part VII: The Part of Tens. Chapter 19: Ten (or So) Modules You Can Add to SPSS. Chapter 20: Ten Useful SPSS Things You Can Find on the Internet. Glossary. Index.