SPSS 11.0 Guide to Data Analysis
Marija J. Norusis
Sold by ThriftBooks-Dallas, Dallas, TX, U.S.A.
AbeBooks Seller since July 2, 2009
Used - Soft cover
Condition: Used - Very good
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Add to basketSold by ThriftBooks-Dallas, Dallas, TX, U.S.A.
AbeBooks Seller since July 2, 2009
Condition: Used - Very good
Quantity: 1 available
Add to basketMay have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Seller Inventory # G0130348309I4N00
This text provides an unintimidating introduction to data analysis and to SPSS. It uses real data to solve a variety of problems—with emphasis on data files that focus on topics of interest to today's students—particularly the role of the Internet in society. This book offers a thorough introduction covering the basics of SPSS and statistics. Provides discussion of key statistical topics such as data sources, experiment design, describing data, testing hypotheses, and examining relationships. In addition, the book contains several appendices that help readers use SPSS to create and modify charts as well as provide a variety of data files. For business and science professionals.
Data CD-ROM included.
The SPSS® 11.0 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 SPSS® 11.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS.
For SPSS 11.0, author Marija Norusis incorporates a wealth of new data, including the General Social Survey for 2000 and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These new data files are supplied with the book and 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!
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