
SPSS 17.0 Guide to Data Analysis
Marija Norusis(Author)
Pearson (Publisher)
Published on 2. April 2009
Book
Mixed media product
672 pages
978-0-321-62143-6 (ISBN)
Article exhausted; check for reprint
Description
The SPSS 17.0 Guide to Data Analysis is a friendly introduction to both data analysis and SPSS, the world's leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With the this book, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS.
Author Marija Norusis incorporates a wealth of real data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun!
A data CD-ROM is included with this book.
Author Marija Norusis incorporates a wealth of real data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun!
A data CD-ROM is included with this book.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 229 mm
Width: 187 mm
Thickness: 23 mm
Weight
992 gr
ISBN-13
978-0-321-62143-6 (9780321621436)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Marija J. Norusis | Inc. SPSS Inc.
PASW Statistics 18 Guide to Data Analysis
Book
05/2010
Pearson
€69.17
Article exhausted; check for reprint
Previous edition

Marija Norusis
SPSS 16.0 Guide to Data Analysis
Book
04/2008
2nd Edition
Pearson
€60.96
Article exhausted; check for reprint
Person
Marija Norusis earned a PhD in biostatistics from the University of Michigan. She was SPSS's first professional statistician. During this time, she wrote her first book, The SPSS Introductory Guide. Since then she has written numerous volumes of highly acclaimed SPSS documentation, and textbooks that demystify statistics and SPSS. Dr. Norusis has been on the faculties of the University of Chicago and Rush Medical College, teaching statistics to diverse audiences. When not working on SPSS guides, Marija analyzes real data as a statistical consultant.
For more detailed information about Dr. Norusis and her SPSS guides, visit her website at www.norusis.com.
For more detailed information about Dr. Norusis and her SPSS guides, visit her website at www.norusis.com.
Content
Contents at a glance: Part 1 Getting started with SPSS:
Setting up a data file; using the online tutorial and Help system; evaluating strategies for acquiring data
Part 2 Describing Data:
Histograms, bar charts, stem and leaf plots, boxplots; scatterplots; tables and summary statistics
Part 3 Testing Hypotheses:
One sample t-test; paired and two sample t-tests; oneway and twoway analysis of variance; chi-square tests; nonparametric tests
Part 4 Examining Relationships:
Measures of association; linear regression and correlation; multiple regression; examining residuals and other diagnostics
Appendices
Include detailed instructions for producing charts with SPSS, and a thorough overview of the facilities for transforming and selecting data prior to analysis.
Setting up a data file; using the online tutorial and Help system; evaluating strategies for acquiring data
Part 2 Describing Data:
Histograms, bar charts, stem and leaf plots, boxplots; scatterplots; tables and summary statistics
Part 3 Testing Hypotheses:
One sample t-test; paired and two sample t-tests; oneway and twoway analysis of variance; chi-square tests; nonparametric tests
Part 4 Examining Relationships:
Measures of association; linear regression and correlation; multiple regression; examining residuals and other diagnostics
Appendices
Include detailed instructions for producing charts with SPSS, and a thorough overview of the facilities for transforming and selecting data prior to analysis.