Applying and interpreting statistics

A comprehensive guide

Glen Mc Person - Collection Springer Series In Statistics

640 pages, parution le 07/12/2001 (2^eme édition)

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Résumé

This book describes the basis, application, and interpretation of statistics, and presents a wide range of univariate and multivariate statistical methodology. In its first edition it has proved popular across all science and technology based disciplines, including the social sciences, and in areas of commerce. It is used both as a reference on statistical methodology for researchers and technicians, and as a textbook with particular appeal for graduate classes containing students of mixed mathematical and statistical background. The book is developed without the use of calculus, although several self-contained sections containing calculus are included to provide additional insight for readers who have a calculus background. Based on the author's "Statistics in Scientific Investigation," the book has been extended substantially in the area of multivariate applications and through the expansion of logistic regression and log linear methodology. It presumes readers have access to a statistical computing package and includes guidance on the application of statistical computing packages. The new edition retains the unique feature of being written from the users' perspective; it connects statistical models and methods to investigative questions and background information, and connects statistical results with interpretations in plain English. In keeping with this approach, methods are grouped by usage rather than by commonality of statistical methodology. Guidance is provided on the choice of appropriate methods. The use of real life examples has been retained and expanded. Using the power of the Internet, expanded reports on the examples are available at a Springer Web site as Word documents. Additionaly, all data sets are available at the Web site as Excel files, and program files and data sets are provided for SAS users and SPSS users. The programs are annotated so users can adapt.

Sommaire

The importance of statistics in an information based World.
Data: the factual information.
Statistical models: the experimenter's view
Comparing model and data.
Probability: a fundamental tool of statistics
Some widely used statistical models
Some important statistics and their sampling Distributions.
Statistical analysis: the statisticians' view.
Examining proportions and success rates
Model and data chekcking.
Questions about the average value.
Comparing two groups, treatments or processes.
Comparative studies, surveys and designed Experiments
Comparing more than two treatment or groups.
Comparing mean response when there are three or more Treatments
Comparing patterns of response: frequency tables.
Studying relations between variables.
Prediction and estimation: the role of explanatory Variables.
Questions about variability.
Cause and effect: statistical perspectives
Studying changes in response over time.

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Glen Mc Person
Collection	Springer Series In Statistics
Parution	07/12/2001
Édition	2^eme édition
Nb. de pages	640
Format	16 x 24
Couverture	Relié
Poids	1069g
Intérieur	Noir et Blanc
EAN13	9780387951102
ISBN13	978-0-387-95110-2