The notebooks in this repository are being written for use in the course Applied
Analytic Statistics. Each of the directories, example-<n> contains two
notebooks: example-<n>-questions.ipynb and example-<n>-answers.ipynb. The
questions notebook contains the questions for the practical sessions and the
answers one has partial answers. Please give the questions a solid attempt
before looking at the answers as this is the best way to check that you really
understand them.
- Example 0 contains an overview of the software packages we will be using and
basic python skills (primarily plotting with
matplotlib). - Example 1 reviews the central limit theorem and looks at confidence intervals and hypothesis tests.
- Example 2 reviews simple linear regression.
- Example 3 reviews multiple linear regression.
- Example 4 reviews hypothesis tests for contingency tables.
- Example 5 reviews logisic regression.
- Example 6 reviews mult-level models.
- The setup page gives some instructions for setting up the software and notebooks.
- The additional resources page gives some pointers to additional resources including a list of good places to find datasets.