Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis von Rovai, Alfred P.: Very Good Paperback (2014)

Beschreibung

Bestandsnummer des Verk�ufers mon0002909294

Bibliografische Details

Titel: Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis
Verlag: Watertree Press
Erscheinungsjahr: 2014
Sprache: Englisch
ISBN-10: 099110465X
ISBN-13: 9780991104659
Einband: Paperback
Zustand: Very Good

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Inhaltsangabe

The purpose of this book is to provide users with knowledge and skills in univariate and bivariate statistics. Univariate refers to analyzing one variable while bivariate refers to analyzing two variables at a time. Bivariate statistics are especially useful in comparing two variables and discovering relationships. The book includes step-by-step examples of how to perform various descriptive and inferential statistical procedures using Microsoft Excel's� native operators and functions as well as automated procedures using Microsoft Analysis ToolPak� and AnalystSoft StatPlus�. Since the principles covered in this book cut across all social science academic disciplines, undergraduate and graduate students in all curricula can make use of this book. The examples are drawn from across the social sciences and are meant to emphasize the generality of statistical theory across disciplines. Using Excel's operators and functions, the learner knows exactly how the solutions are obtained and is in full control of the process, unlike some statistical software with sophisticated graphic user interfaces in which the user has little knowledge and flexibility regarding how the output is produced.

Rese�a del editor

The purpose of this book is to provide users with knowledge and skills in univariate and bivariate statistics. Univariate refers to analyzing one variable while bivariate refers to analyzing two variables at a time. Bivariate statistics are especially useful in comparing two variables and discovering relationships. The book includes step-by-step examples of how to perform various descriptive and inferential statistical procedures using Microsoft Excel's� native operators and functions as well as automated procedures using Microsoft Analysis ToolPak� and AnalystSoft StatPlus�. Since the principles covered in this book cut across all social science academic disciplines, undergraduate and graduate students in all curricula can make use of this book. The examples are drawn from across the social sciences and are meant to emphasize the generality of statistical theory across disciplines. Using Excel's operators and functions, the learner knows exactly how the solutions are obtained and is in full control of the process, unlike some statistical software with sophisticated graphic user interfaces in which the user has little knowledge and flexibility regarding how the output is produced.

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