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Courses / Modules / ARCH2029 Digging Data: quantitative data analysis in Archaeology

Digging Data: quantitative data analysis in Archaeology

When you'll study it
Semester 1
CATS points
15
ECTS points
7.5
Level
Level 5
Module lead
Rachel Bynoe
Academic year
2021-22

Module overview

Archaeology is an immensely data-rich activity that records the characteristics of sites, landscapes and artefacts, sometimes in great detail. Making sense of that data often relies on quantitative or statistical methods to identify patterns, associations and relationships. This module aims to provide students (who do not necessarily have a recent background in maths or statistics) with some statistical concepts and methods, and the knowledge to apply them using readily available software (spreadsheets). It aims to deliver understanding of a range of ideas about quantitative approaches to archaeology from how to make better graphs to how we can phrase archaeological questions in a range of quantitative ways.

During the module, you will learn about graphical representations of numerical data, descriptive statistics and summaries of single variables; the normal distribution; statistical inference; some measures of association between two variables and ways to explore relationships between numeric variables using correlation and regression.

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