Discovering Statistics Using SAS

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SAGE Publications, Feb 25, 2010 - Reference - 719 pages
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Hot on the heels of the 3rd edition of Andy Field's award-winning Discovering Statistics Using SPSS comes this brand new version for students using SASŪ. Andy has teamed up with a co-author, Jeremy Miles, to adapt the book with all the most up-to-date commands and programming language from SASŪ 9.2. If you're using SASŪ, this is the only book on statistics that you will need!

The book provides a comprehensive collection of statistical methods, tests and procedures, covering everything you're likely to need to know for your course, all presented in Andy's accessible and humourous writing style. Suitable for those new to statistics as well as students on intermediate and more advanced courses, the book walks students through from basic to advanced level concepts, all the while reinforcing knowledge through the use of SASŪ.

A 'cast of characters' supports the learning process throughout the book, from providing tips on how to enter data in SASŪ properly to testing knowledge covered in chapters interactively, and 'real world' and invented examples illustrate the concepts and make the techniques come alive.

The book's companion website (see link above) provides students with a wide range of invented and real published research datasets. Lecturers can find multiple choice questions and PowerPoint slides for each chapter to support their teaching.

 

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Contents

1 Why is my evil lecturer forcing me to learn statistics?
1
2 Everything you ever wanted to know about statistics well sort of
31
3 The SAS environment
61
4 Exploring data with graphs
88
5 Exploring assumptions
113
6 Correlation
144
7 Regression
171
8 Logistic regression
231
14 Mixed design ANOVA GLM 5
436
15 Nonparametric tests
465
16 Multivariate analysis of variance MANOVA
503
17 Exploratory factor analysis
541
18 Categorical data
594
19 Multilevel linear models
629
Life After Discovering Statistics
676
Glossary
679

9 Comparing two means
268
ANOVA GLM 1
293
11 Analysis of covariance ANCOVA GLM 2
337
12 Factorial ANOVA GLM 3
359
13 Repeatedmeasures designs GLM 4
393
Appendix
695
References
707
Index
713
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