This module aims to give you a firm grounding in the theory and practice of quantitative data analysis, which you will be able to use in your own research.
You will learn about a wide range of statistical techniques, which are essential for doing data-driven research and critically evaluating arguments based on quantitative data. You will also receive practice in applying these techniques to actual data using statistical software.
The module lasts one term and is taught for three hours a week (1 hour lecture and 2 hour practical).
The module is designed to give you a background in quantitative data analysis. We will cover the following topics:
You will receive substantial training in the use of a statistical software package called R, which will allow you to apply the techniques we learn about to a range of different data sets.
The text will be supplemented by relevant reading which will be made available to students.
part 1 (theory): a set of questions focusing on your understanding of descriptive and inferential statistics
part 2 (practice): you'll have to perform a few simple tasks on a computer using R, a statistical software package
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