SPSS 15. 0 Guide to Data Analysis

ISBN-10: 0131593897

ISBN-13: 9780131593893

Edition: 2007

Authors: Marija Norusis

List price: $85.33
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Description:

TheSPSS 15.0 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. nbsp;With theSPSS 15.0 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; A data CD-ROM is included with this book.
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Book details

List price: $85.33
Copyright year: 2007
Publisher: Prentice Hall PTR
Binding: Mixed Media
Pages: 672
Size: 7.50" wide x 9.00" long x 1.00" tall
Weight: 2.090

Introduction
An introductory tour of SPSS
Sources of data
Counting responses
Computing descriptive statistics
Comparing groups
Looking at distributions
Counting responses for combinations of variables
Plotting data
Evaluating results from samples
The normal distribution
Testing a hypothesis about a single mean
Testing a hypothesis about two related means
Testing a hypothesis about two independent means
One-way analysis of variance
Two-way analysis of variance
Comparing observed and expected counts
Nonparametric tests
Measuring association
Linear regression and correlation
Testing regression hypotheses
Analyzing residuals
Building multiple regression models
Multiple regression diagnostics
Obtaining charts in SPSS
Transforming and selecting data
The T distribution
Areas under the normal curve
Descriptions of data files
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