SPSS 15. 0 Guide to Data Analysis
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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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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $85.33
Copyright year: 2007
Publisher: Prentice Hall PTR
Binding: Mixed Media
Size: 7.50" wide x 9.00" long x 1.00" tall
|An introductory tour of SPSS|
|Sources of data|
|Computing descriptive statistics|
|Looking at distributions|
|Counting responses for combinations of variables|
|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|
|Linear regression and correlation|
|Testing regression hypotheses|
|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|