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.