Quantitative Anthropology: A Workbook contributes an anthropological perspective to quantitative methods. The book's authors address characteristics of quantitative data, entering and manipulating data in SPSS, graphical displays, distributions and measures of central tendency and dispersion, and including hypothesis testing with both parametric and nonparametric statistical tests. Increasingly complex exercises build on cumulative learning from chapter to chapter and stress the application of methods beyond coursework. The focus of the manual is on univariate statistical analysis, and the book is written to be accessible to higher level undergraduate students and graduate students in all fields of anthropology. - Uses anthropological examples (from the subdisciplines of sociocultural anthropology, biological anthropology, and archaeology) to illustrate quantitative data techniques - Integrates quantitative techniques with theoretical fluency, encouraging the reader to make connections between Big Picture questions in anthropology and the methods used to address those questions - Focuses on the practical use of Excel and SPSS to apply quantitative methods to anthropological contexts - Includes exercises in both parametric and nonparametric inferential statistics, as well as descriptive statistics

Dr. Williams is a bioarchaeologist whose primary research centers on understanding human response and adaptation to mass disaster and climate change using an evolutionary framework that incorporates local context, cultural environments, and human health. She has taught courses on quantitative methods in anthropology, and has presented research on database design and management. Her research spans osteology, archaeology, paleopathology, and historical demography in Germany, England, Italy, and the United States. She has a PhD from the Ohio State University in Anthropology and an MSc from the University of Sheffield in Human Osteology and Funerary Archaeology.

Quantitative Anthropology: A Workbook contributes an anthropological perspective to quantitative methods. The book's authors address characteristics of quantitative data, entering and manipulating data in SPSS, graphical displays, distributions and measures of central tendency and dispersion, and including hypothesis testing with both parametric and nonparametric statistical tests. Increasingly complex exercises build on cumulative learning from chapter to chapter and stress the application of methods beyond coursework. The focus of the manual is on univariate statistical analysis, and the book is written to be accessible to higher level undergraduate students and graduate students in all fields of anthropology.

• Uses anthropological examples (from the subdisciplines of sociocultural anthropology, biological anthropology, and archaeology) to illustrate quantitative data techniques
• Integrates quantitative techniques with theoretical fluency, encouraging the reader to make connections between Big Picture questions in anthropology and the methods used to address those questions
• Focuses on the practical use of Excel and SPSS to apply quantitative methods to anthropological contexts
• Includes exercises in both parametric and nonparametric inferential statistics, as well as descriptive statistics

1. Essentials for Quantifying Anthropological Data Sets 2. Managing Anthropological Data Sets 3. Visualizing Data 4. Measures of Central Tendency and Dispersion 5. Exploring and Transforming Distributions 6. Hypothesis Testing 7. Comparing Two Groups: t-Tests 8. Linear Associations: Correlation Analysis 9. Regression Analysis 10. Tests of Proportions: Chi-Square, Likelihood Ratio, Fisher's Exact Test 11. Comparing Three or More Groups: Analysis of Variance

Appendix 1. Distribution Tables 2. Further Reading 3. Final Project Concepts