Edition: 3rd 2010
List price: $73.00
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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 dataSupplements: NEW companion website with downloadable data sets and additional resources including live links to statistical software such as SAS and SPSS Student Solutions Manual Instructor Manual Integrates the classical conceptual approach with modern day computerized data manipulation and computer applicationsAccessibile to students who may not have a background in probability or calculusOffers reader-friendly exposition, without sacrificing statistical rigorIncludes many new data sets in various applied fields such as Psychology, Education, Biostatistics, Agriculture, Economics
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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: $73.00
Copyright year: 2010
Publisher: Elsevier Science & Technology
Publication date: 8/17/2010
Size: 7.75" wide x 9.50" long x 1.50" tall
|Data and statistics|
|Probability and sampling distributions|
|Principles of inference|
|Inferences on a single population|
|Inferences for two populations|
|Inferences for two or more means|
|Design of experiments|
|Generalized linear models|