SPSS 16. 0 Guide to Data Analysis

ISBN-10: 0136061362

ISBN-13: 9780136061366

Edition: 2nd 2009

List price: $88.00
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TheSPSS 16.0 Guide to Data Analysisis a friendly introduction to both data analysis and SPSS, the worldrsquo;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 theSPSS 16.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. nbsp; Author Marija Noruscaron;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! nbsp; Data CD-ROM included.
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Book details

List price: $88.00
Edition: 2nd
Copyright year: 2009
Publisher: Prentice Hall Higher Education
Publication date: 1/1/2008
Binding: Mixed Media
Pages: 672
Size: 7.25" wide x 9.25" long x 1.00" tall
Weight: 2.134
Language: English

Contents at a glance
Getting started with SPSS
Setting up a data file
using the online tutorial and Help system
evaluating strategies for acquiring data
Describing Data:Histograms, bar charts, stem and leaf plots, boxplots
tables and summary statistics
Testing Hypotheses:One sample t-test
paired and two sample t-tests
oneway and twoway analysis of variance
chi-square tests
nonparametric tests
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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