Week 3
Introduction
This week will introduce hypothesis testing - firstly how do we define research questions and hypotheses, and secondly, what are the key statistical tests for evaluating hypotheses.
This week builds on the statistical concepts introduced in week 2. If you’re new to hypothesis testing then I’d recommend having a look at some of the resources below.
Learning Objectives
By the end of this week, you will be able to:
- Establish a hypothesis for a given research project.
- Define the Type I and Type II errors.
- Evaluate a hypothesis using appropriate statistical tests.
Lecture
To access the lecture notes: Lecture
Quiz
To access the quiz on Moodle, please check Moodle page.
Practical
To access the practical:
To save a copy of notebook to your own GitHub Repo: follow the GitHub link, click on Raw and then Save File As... to save it to your own computer. Make sure to change the extension from .ipynb.txt (which will probably be the default) to .ipynbbefore adding the file to your GitHub repository.
Further resources
- If you’re new to hypothesis testing then this Khan Academy course might be helpful: https://www.khanacademy.org/math/statistics-probability/significance-tests-one-sample
- If you want to refresh on hypothesis testing this chapter is helpful: https://us.sagepub.com/sites/default/files/upm-binaries/40007_Chapter8.pdf - note that is it largely framed in terms of the behavioural sciences, and focuses on statistical tests commonly used in the behavioural sciences.