Key Features
- Integrates the classical conceptual approach with modern day computerized data manipulation and computer applications
- Accessibile to students who may not have a background in probability or calculus
- Offers reader-friendly exposition, without sacrificing statistical rigor
- Includes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics
Description
Statistical Methods, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach emphasizing concepts and techniques for working out problems and intepreting results. The book includes research projects, real-world case studies, numerous examples and data exercises organized by level of difficulty. This text requires that a student be familiar with algebra.
New to this edition:
- NEW expansion of exercises applying different techniques and methods
- NEW examples and datasets using current real-world data
- New text organization to create a more natural connection between regression and the Analysis of the Variance
- NEW material on generalized linear models
- NEW expansion of nonparametric techniques
- NEW student research projects
- NEW case studies for gathering, summarizing, and analyzing data
Supplements:
- NEW companion website with downloadable data sets and additional resources including live links to statistical software such as SAS and SPSS
- Student Solutions Manual - to come
- Instructor Manual - to come
- Sample chapter - http://www.elsevierdirect.com/product.jsp?isbn=9780123749703
Readership
Advanced undergraduates majoring or minoring in statistics, math or graduate students in an applied field requiring statistical methods: psychology, public administration, economics, sociology, education, public health, engineering, agriculture.
