SPSS 16. 0 Guide to Data Analysis by Marija J. Norusis (2008, CD-ROM / Trade Paperback)

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Product Information

The SPSS 16.0 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 16.0 Guide to Data Analysis , you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. Author Marija Noru is incorporates a wealth of 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 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! Data CD-ROM included.

Product Identifiers

PublisherPrentice Hall Higher Education
ISBN-100136061362
ISBN-139780136061366
eBay Product ID (ePID)64146334

Product Key Features

Number of Pages672 Pages
Publication NameSPSS 16. 0 Guide to Data Analysis
LanguageEnglish
SubjectMathematical & Statistical Software, Probability & Statistics / General, Référence, Statistics
Publication Year2008
TypeTextbook
AuthorMarija J. Norusis
Subject AreaComputers, Mathematics, Social Science
FormatCD-ROM / Trade Paperback

Dimensions

Item Height1.1 in
Item Weight34.6 Oz
Item Length9 in
Item Width6.5 in

Additional Product Features

Edition Number2
Dewey Edition22
Target AudienceTrade
IllustratedYes
Dewey Decimal300.285536
Lc Classification NumberHa32
Table of ContentContents 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.

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