C??mo aplicar las pruebas param??tricas bivariadas 't' de Student y ANOVA en SPSS : caso pr??ctico

Resumen tomado de la publicaci??n

Clasificación de pruebas no paramétricas : cómo aplicarlas en SPSS.

Resumen tomado de la publicación

Uso del software SPSS en el aula de matemáticas de Secundaria y Bachillerato

XII Jornadas de Investigación en el Aula de Matemáticas : estadística y azar, celebradas en Granada, noviembre y diciembre de 2006. Resumen tomado de la publicación

Programa SPSS : Statistical Package for Social Sicences.

Se reseña la celebración del cursillo sobre 'Statistical Package for Social Sciences' en enero de 1980, en el Centro de Cálculo de la Universidad Politécnica de Barcelona, organizado por el Departamento de Investigación del INCIE, en el marco de las actividades del Seminario Permanente que sobre Metodología de la Investigación Educativa desarrolla este organismo. También, se ofrecen explicaciones teóricas y prácticas de este programa de tratamiento de la información llamado SPSS cuya aplicación se dirige, en especial, a la investigación en ciencias humanas.

Cómo aplicar árboles de decisión en SPSS

Resumen basado en el de la publicación.

Análisis discriminante mediante SPSS

Resumen tomado de la publicación

Cómo aplicar un cluster jerárquico en SPSS

Resumen basado en el de la publicación

C??mo obtener un Modelo de Regresi??n Log??stica Binaria con SPSS

Resumen basado en el de la publicaci??n

SPSS: un lenguaje orientado al analisis de datos

Incluye Bibliografía

Realizzazione di un sistema di Social Business Intelligence basato sul motore SPSS

Realizzazione di un sistema di Social Business Intelligence basato sul motore SPSS.

State inspection program evaluation and data analysis: data base E SPSS frequencies tabulations for brake components and explanatory variables. Volume III. Final report.

National Highway Traffic Safety Administration, Office of Vehicle Safety Research, Washington, D.C.

A concise guide to market research:the process, data, and methods using IBM SPSS Statistics

This accessible, practice-oriented and compact text provides a hands-on introduction to the principles of market research. Using the market research process as a framework, the authors explain how to collect and describe the necessary data and present the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis, and cluster analysis. An explanation is provided of the theoretical choices a market researcher has to make with regard to each technique, as well as how these are translated into actions in IBM SPSS Statistics. This includes a discussion of what the outputs mean and how they should be interpreted from a market research perspective. Each chapter concludes with a case study that illustrates the process based on real-world data. A comprehensive web appendix includes additional analysis techniques, datasets, video files and case studies. Several mobile tags in the text allow readers to quickly browse related web content using a mobile device.

Business statistics using EXCEL and SPSS

'Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.' - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada A book about introductory quantitative analysis for business students designed to be read by first- and second-year students on a business studies degree course that assumes little or no background in mathematics or statistics. Based on extensive knowledge and experience in how people learn and in particular how people learn mathematics, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems. Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including "The Ballad of Eddie the Easily Distracted" and "Esha's Story" help bring the study of statistics alive. A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding •Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples •Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know •Think it over get students to stop, engage and reflect upon the different connections between topics A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content compliment the book.

Varianzanalysen - Prüfen der Voraussetzungen und nichtparametrische Methoden sowie praktische Anwendungen mit R und SPSS. Version 1.1 (2.3.2015)

Die Voraussetzunen der parametrischen 1- und mehrfaktoriellen Varianzanalyse, mit und ohne Messwiederholungen, werden besprochen. Ferner werden eine Reihe von alternativen Verfahren vorgestellt, insbesondere einige nichtparametrische, darunter RT (rank transform), INT (inverse normal transform), ART (aligned rank transform), Puri & Sen (L statistic), van der Waerden und Akritas & Brunner (ATS anova type statistic), die sich auf die parametrische Varianzanalyse zurückführen lassen, sowie dichotome und ordinale logistische Regression. Hierzu werden Lösungen mit R und SPSS ausführlich gezeigt.

R: a alternativa ao SPSS e ao NVivoem software livre

Objetivos da apresentação • Introduzir o R como um software para análise de dados, estatística, armazenamento e criação de gráficos, que é também uma linguagem de programação • Introduzir a operação básica do software R e apresentar algumas das suas funcionalidades e potencialidades • Partilhar um conjunto de recursos que facilitem a aprendizagem e exploração do R • Apresentar alguns exemplos do uso de R • Propor uma comunidade de uso local, para explorar o R