Statistics for Anthropology / Edition 2

by Lorena Madrigal

Overview

Anthropology as a discipline is rapidly becoming more quantitative, and anthropology students are now required to develop sophisticated statistical skills. This book provides students of anthropology with a clear, step-by-step guide to univariate statistical methods, demystifying the aspects that are often seen as difficult or impenetrable. Explaining the central role of statistical methods in anthropology and using only anthropological examples, the book provides a solid footing in statistical techniques. Beginning with basic descriptive statistics, this new edition also covers more advanced methods such as analyses of frequencies and variance, simple and multiple regression analysis with dummy and continuous variables. It addresses commonly encountered problems such as small samples and non-normality. Each statistical technique is accompanied by clearly worked examples and the chapters end with practice problem sets. Many of the datasets are available for download at www.cambridge.org/9780521147088.

Product Details

ISBN-13:	9780521147088
Publisher:	Cambridge University Press
Publication date:	03/01/2012
Edition description:	Second edition
Pages:	278
Product dimensions:	6.80(w) x 9.60(h) x 0.50(d)

About the Author

Lorena Madrigal is Professor of Anthropology at the University of South Florida, Tampa. A biological anthropologist, she is particularly interested in the evolution of Afro and Indo Costa Rican populations residing on the Atlantic coast of Costa Rica. She is currently President of the American Association of Physical Anthropologists.

Table of Contents

Preface; List of partial statistical tables; 1. Introduction to statistics and simple descriptive statistics; 2. The first step in data analysis: summarizing and displaying data. Computing descriptive statistics; 3. Probability and statistics; 4. Hypothesis testing and estimation; 5. The difference between two means; 6. The analysis of variance (ANOVA); 7. Non-parametric tests for the comparison of samples; 8. The analysis of frequencies; 9. Correlation analysis; 10. Simple linear regression; 11. Advanced topics in regression analysis; References; Index.