Further Hypothesis Testing
Building on the material covered by Introduction to Sampling and Hypothesis Testing, this workshop will introduce a range of commonly used hypothesis tests.
The following topics will be covered:
- The t-test
- Comparing variances
- Chi-squared test
- Testing for normality
- Correcting for multiple tests
- Goodness of fit
We will be working with jupyter notebooks. The easiest way to access jupyter is via the Anaconda platform. Please install Anaconda from https://www.anaconda.com in advance of the workshop.
NB no knowledge of programming is required for this workshop.
Download this repository to your computer as a ZIP file and unpack it.
Open JupyterLab (within Anaconda) and navigate to the unpacked directory to load the notebooks.
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