Neuware - The purpose of this book is to help the users of computerised statistical packages make the correct statistical choices to match the data they have already collected. It is assumed that the reader has information available on the use of the statistical package. While most statistical packages will perform whatever statistical analyses the user chooses, the package will not help the user in the selection of the choice or in the interpretation of the results. Thus, a statistical package is only a tool. While statistical packages come with instructions on their use, the user must know how to apply the package to the data available and how to read the results printed. The book provides a simple to understand, step-by-step guide for the user of any computerised statistical package. This book is designed to bivariate (two variables tested together) data analysis.

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Bibliographic Details

Title: Bivariate Data Analysis : A Practical Guide
Publisher: Nova Science Publishers Inc Mai 2000
Publication Date: 2000
Language: English
ISBN 10: 1560727519
ISBN 13: 9781560727514
Binding: Buch
Condition: Neu
Dimensions: 264 millimeters width by 186 millimeters height by 13 millimeters depth
Weight: 458 grams

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Synopsis

The purpose of this book is to help the users of computerised statistical packages make the correct statistical choices to match the data they have already collected. It is assumed that the reader has information available on the use of the statistical package. While most statistical packages will perform whatever statistical analyses the user chooses, the package will not help the user in the selection of the choice or in the interpretation of the results. Thus, a statistical package is only a tool. While statistical packages come with instructions on their use, the user must know how to apply the package to the data available and how to read the results printed. The book provides a simple to understand, step-by-step guide for the user of any computerised statistical package. This book is designed to bivariate (two variables tested together) data analysis.

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Randi L Sims

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