## Artículo: The Correlation Coefficient – An Overview

30 05 2009

Resumen del Artículo:

Correlation and regression are different, but not mutually exclusive, techniques. Roughly, regression
is used for prediction (which does not extrapolate beyond the data used in the analysis)
whereas correlation is used to determine the degree of association. There situations in which the
x variable is not fixed or readily chosen by the experimenter, but instead is a random covariate
to the y variable. This paper shows the relationships between the coefficient of determination,
the multiple correlation coefficient, the covariance, the correlation coefficient and the coefficient
of alienation, for the case of two related variables x and y. It discusses the uses of the
correlation coefficient r , either as a way to infer correlation, or to test linearity. A number of
graphical examples are provided as well as examples of actual chemical applications. The paper
recommends the use of z Fisher transformation instead of r values because r is not normally
distributed but z is (at least in approximation). For either correlation or for regression models,
the same expressions are valid, although they differ significantly in meaning

Correlation and regression are different, but not mutually exclusive, techniques. Roughly, regression is used for prediction (which does not extrapolate beyond the data used in the analysis) whereas correlation is used to determine the degree of association. There situations in which the x variable is not fixed or readily chosen by the experimenter, but instead is a random covariate to the y variable. This paper shows the relationships between the coefficient of determination, the multiple correlation coefficient, the covariance, the correlation coefficient and the coefficient of alienation, for the case of two related variables x and y. It discusses the uses of the correlation coefficient r , either as a way to infer correlation, or to test linearity. A number of graphical examples are provided as well as examples of actual chemical applications. The paper recommends the use of z Fisher transformation instead of r values because r is not normally distributed but z is (at least in approximation). For either correlation or for regression models, the same expressions are valid, although they differ significantly in meaning.

Autores: Asuero, Sagayo y González

Año: 2006

Revista: Critical Reviews in Analytical Chemistry

Enlace de Descarga: The Correlation Coefficient An Overview

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## Artículo: Usos y Abusos de la Significación Estadística: Propuestas de Futuro

25 04 2009

RESUMEN DEL ARTÍCULO:

Autores: Juan Pascual Llobell, María Dolores Frías Navarro y Fernando García Pérez

Año: 2004

Enlace de Descarga: Usos y Abusos de la Significacion Estadistica: Propuestas de Futuro

## Libro: Experimental Design and Statistics for Psychology – A First Course

11 04 2009

DESCRIPCION DEL LIBRO:

Este libro es una introducción al análisis experimental y a la estadística para alumnos de psicología de segundo año. Los autores pretenden cumplir 3 objetivos. En primer lugar, crear un texto que sirva de apoyo para todos aquellos estudiantes que generalmente encuentran difíciles y se sienten ansiosos ante estos temas. Para ello utilizan un estilo simple y amigable, ofreciendo múltiples ejemplos para discusión. En segundo lugar, los autores decidieron escribir un libro muy introductorio, asumiendo que los lectores no poseen mayor conocimiento previo sobre el tema. Por último, el libro fue escrito en línea con los últimos avances tecnológicos en el área, por lo que el uso de softwares estadísticos está considerado dentro de los ejercicios propuestos en los distintos capítulos.

Autores: Fabio Sani & John Todman

Año: 2006

Enlace de Descarga: Experimental Design and Statistics for Psychology – A First Course