Statistical data analysis using de bernstein ira (24 resultados)

Condición: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780761917809. …

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Paperback. Condición: Brand New. 1st edition. 446 pages. 8.75x5.75x0.75 inches. In Stock.

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Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Brand New. 1st edition. 446 pages. 9.00x6.00x1.00 inches. In Stock.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnProf. Bernstein has a long background in both experimental psychology and the study of individual differences. Much of his work involves medical applications including opthalmology, pain management, and psychiatry. After s.…

Condición: New. Print on Demand pp. 456 1st edition NO-PA18SEPT2011-KAP.

Condición: New. Print on Demand pp. 456.

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - What should you see when yoüre analyzing real data using one of the major statistical packages, such as SPSS, SAS or Microsoft Excel This book will show you, and will walk you through the output from a variety of statistical outcomes, such as data reflecting a single common factor. Through the use of actual demonstrations, the authors supply readers with the computer programs necessary to simulate data sets with the statistical properties (usually multivariate) that are often assumed of real data. The reader is then shown how to analyze these data sets and how to interpret the results. The book begins with a general introduction to doing research and tips for using the three statistical packages. The authors next explore how to create data structures and perform univariate, bivariate, and multivariate simulations. They then show how to use the simulations to understand common statistical algorithms and their outputs when doing a basic correlation analysis, exploratory factor analysis, confirmatory factor analysis, multidimensional scaling, multiple regression, discriminate analysis, classification analysis and MANOVA. Throughout the book, the authors provide the reader with helpful guides, such as: \*Hint boxes to give readers tips for executing particular techniques using the statistical software packages. \*Steps that show each stage of a procedure, such as importing an Excel file into SAS. \*Problems end each chapter so the reader can practice the techniques described. \*Web Site with the SAS and SPSS programs and sample data.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorProf. Bernstein has a long background in both experimental psychology and the study of individual differences. Much of his work involves medical applications including opthalmology, pain management, and psychiatry. Aft.…

Condición: New. Print on Demand pp. 456 1st edition NO-PA18SEPT2011-KAP.

Condición: New. Print on Demand pp. 456.

Condición: New. PRINT ON DEMAND pp. 456.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - What should you see when you're analyzing real data using one of the major statistical packages, such as SPSS, SAS or Microsoft Excel This book will show you, and will walk you through the output from a variety of statistical outcomes, such as data reflecting a single common factor. Through the use of actual demonstrations, the authors supply readers with the computer programs necessary to simulate data sets with the statistical properties (usually multivariate) that are often assumed of real data. The reader is then shown how to analyze these data sets and how to interpret the results. The book begins with a general introduction to doing research and tips for using the three statistical packages. The authors next explore how to create data structures and perform univariate, bivariate, and multivariate simulations. They then show how to use the simulations to understand common statistical algorithms and their outputs when doing a basic correlation analysis, exploratory factor analysis, confirmatory factor analysis, multidimensional scaling, multiple regression, discriminate analysis, classification analysis and MANOVA. Throughout the book, the authors provide the reader with helpful guides, such as:\*Hint boxes to give readers tips for executing particular techniques using the statistical software packages.\*Steps that show each stage of a procedure, such as importing an Excel file into SAS.\*Problems end each chapter so the reader can practice the techniques described.\*Web Site with the SAS and SPSS programs and sample data.…