Statistics for Anthropology
eBook - PDF

Statistics for Anthropology

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Statistics for Anthropology

About this book

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.

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Yes, you can access Statistics for Anthropology by Lorena Madrigal in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Zoology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Statistics for Anthropology: Second Edition
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. List of partial statistical tables
  8. Preface
  9. 1 Introduction to statistics and simple descriptive statistics
  10. 2 The first step in data analysis: summarizing and displaying data. Computing descriptive statistics
  11. 3 Probability and statistics
  12. 4 Hypothesis testing and estimation
  13. 5 The difference between two means
  14. 6 The analysis of variance (ANOVA)
  15. 7 Non-parametric tests for the comparison of samples
  16. 8 The analysis of frequencies
  17. 9 Correlation analysis
  18. 10 Simple linear regression
  19. 11 Advanced topics in regression analysis
  20. References
  21. Index