Statistical Concepts A Second Course 4th Edition by Richard Lomax ISBN 9780415880077 0415880076

Statistical Concepts A Second Course 4th Edition by Richard G. Lomax  – Ebook PDF Instant Download/Delivery: 9780415880077, 0415880076
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Product details: 

ISBN 10:  0415880076

ISBN 13: 9780415880077

Author:  Richard G. Lomax

Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3 rd ed. Designed for the second course in statistics, it is one of the few texts that focuses just on intermediate statistics. The book highlights how statistics work and what they mean to better prepare students to analyze their own data and interpret SPSS and research results. As such it offers more coverage of non-parametric procedures used when standard assumptions are violated since these methods are more frequently encountered when working with real data. Determining appropriate sample sizes is emphasized throughout. Only crucial equations are included.The new edition Each chapter begins with an outline, a list of key concepts, and a research vignette related to the concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides tips for how to run SPSS and develop an APA style write-up. Tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter includes computational, conceptual, and interpretive problems. Answers to the odd-numbered problems are provided. The SPSS data sets that correspond to the book’s examples and problems are available on the web.　The book covers basic and advanced analysis of variance models and topics not dealt with in other texts such as robust methods, multiple comparison and non-parametric procedures, and multiple and logistic regression models. Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master’s or doctoral level. Knowledge of introductory statistics is assumed.

Table of contents: 

1 Multiple Comparison Procedures
2 FixedEffects Model
3 OneFactor FixedEffects Model
4 Problems
5 Random and MixedEffects Analysis of Variance Models
6 Hierarchical and Randomized Block Analysis of Variance Models
7 Simple Linear Regression
8 Multiple Regression
9 Logistic Regression
10 Tables
11 OddNumbered Answers to Problems

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