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number of add-on modules that extend the range of data entry, statistical, or reporting capabilities. In our experience, the most important of these for statistical analysis are the SPSS Advanced Modelsand SPSS Regression Models add-on modules. SPSS Inc. also distributes stand-alone programs that work with SPSS.

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ability concepts that are required for the interpretation of statistical inference. Statistical inference is the subject of the second part of the book. The rst chapter is a short introduction to statistics and probability. Stu-dents are required to have access to R right from the start. Instructions regarding

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to correspond to version 2.0.0 of the alr3 package. The graphs produced by the latest version of alr3 are much more esthetic than are the graphs shown in this solutions manual, so the scripts will not reproduce these graphs exactly. If you use other programs, like SAS or JMP, then the solutions you get

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2. Download the free student version of AMOS from the AMOS development website for your own personal computer. If your models of interest are small, the free demonstration version may be sufficient to meet your needs. For larger models, you will need to purchase your own copy of AMOS or access the ITS shared copy of the software through

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well-known statistical models. The Thurstonian models for a group of discrimination methods leading to bino-mial responses are shown to be versions of a statistical class of models known as generalized linear models. Thurstonian models for A-not A with sureness and 2-Alternative Choice (2-AC) protocols have been identi ed as versions of a class

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predictors and fit a linear model by least squares, we are formally said to fit a least squares linear multiple re-gression. Most folks just call it multiple regression. You may also see the abbreviation OLS used with this kind of analy-sis. It stands for Ordinary Least Squares. Metalware Prices. Multi-ple regression is a valuable

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statistical software package to produce the examples. OpenOffice is a free download from www.openoffice.org. Microsoft Excel: Excel provides data analysis tools to conduct statistical analyses to include descriptives, t-tests, ANOVA, correlation, and regression. To access

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