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Applied Statistics: From - Hardcover, by Warner Rebecca M. - Acceptable n
US $9.97
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Acceptable
A book with obvious wear. May have some damage to the cover but integrity still intact. The binding may be slightly damaged but integrity is still intact. Possible writing in margins, possible underlining and highlighting of text, but no missing pages or anything that would compromise the legibility or understanding of the text.
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eBay item number:404983710470
Item specifics
- Condition
- Book Title
- Applied Statistics: From Bivariate Through Multivariate Technique
- ISBN
- 9781412991346
About this product
Product Identifiers
Publisher
SAGE Publications, Incorporated
ISBN-10
141299134X
ISBN-13
9781412991346
eBay Product ID (ePID)
3038720586
Product Key Features
Number of Pages
1208 Pages
Language
English
Publication Name
Applied Statistics : from Bivariate Through Multivariate Techniques
Publication Year
2012
Subject
Probability & Statistics / Multivariate Analysis, General, Statistics
Type
Textbook
Subject Area
Mathematics, Social Science, Psychology
Format
Hardcover
Dimensions
Item Height
2.2 in
Item Weight
73 Oz
Item Length
10.2 in
Item Width
8.2 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2012-001382
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5/35
Table Of Content
PrefaceAcknowledgmentsAbout the AuthorChapter 1. Review of Basic ConceptsChapter 2. Basic Statistics, Sampling Error, and Confidence IntervalsChapter 3. Statistical Significance TestingChapter 4. Preliminary Data ScreeningChapter 5. Comparing Group Means Using the Independent Samples t TestChapter 6. One-Way Between-Subjects Analysis of VarianceChapter 7. Bivariate Pearson CorrelationChapter 8. Alternative Correlation CoefficientsChapter 9. Bivariate RegressionChapter 10. Adding a Third Variable: Preliminary Exploratory AnalysesChapter 11. Multiple Regression With Two Predictor VariablesChapter 12. Dummy Predictor Variables in Multiple RegressionChapter 13. Factorial Analysis of VarianceChapter 14. Multiple Regression With More Than Two PredictorsChapter 15. Moderation: Tests for Interaction in Multiple RegressionChapter 16. MediationChapter 17. Analysis of CovarianceChapter 18. Discriminant AnalysisChapter 19. Multivariate Analysis of VarianceChapter 20. Principal Components and Factor AnalysisChapter 21. Reliability, Validity, and Multiple-Item ScalesChapter 22. Analysis of Repeated MeasuresChapter 23. Binary Logistic RegressionAppendix A: Proportions of Area Under a Standard Normal CurveAppendix B: Critical Values for t DistributionAppendix C: Critical Values of FAppendix D: Critical Values of Chi-SquareAppendix E: Critical Values of the Pearson Correlation CoefficientAppendix F: Critical Values of the Studentized Range StatisticAppendix G: Transformation of r (Pearson Correlation) to Fisher ZGlossaryReferencesIndex
Synopsis
Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition, provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. Author Rebecca M. Warner uses an applied approach that does not require formal mathematics; equations are accompanied by verbal explanations, and students are asked to think about the meaning of the equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method, along with a glossary and comprehension questions to help students master each concept. SPSS examples are used throughout the book; however, the conceptual material will be helpful for users of different programs., Complete with examples, questions and graphics this text introduces readers to areas in bivariate and multivariate statistics., Rebecca M. Warners Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.
LC Classification Number
HA31.35.W37 2013
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