Applied Statistics I - Fall 2026

Author

Charles Truong

Welcome to Applied Statistics I (DS1020CCMD / MA1020CCMD), Fall 2026 at The American University of Paris.

This course introduces the basic tools of descriptive and inferential statistical analysis, with an emphasis on working with real data sets, interpreting results, and communicating findings clearly in numbers, graphs, and words.

Schedule

One row per lecture. Links to each lecture’s materials will be added here as the semester goes.

Week Date Prepare Topic
1 Mon, Aug 31 Welcome + Why applied stats?
Wed, Sep 2 What is data?
Thu, Sep 3 Summarising and displaying categorical data
2 Mon, Sep 7 Summarising and displaying quantitative data
Wed, Sep 9 Summarising quantitative data
Thu, Sep 10 Practical problem set: the Loch Ness Monster reports
3 Mon, Sep 14 Test + Practical problem set: the Loch Ness Monster reports
Wed, Sep 16 Conditional distributions
Thu, Sep 17 Simpson’s Paradox: Berkeley’s Admissions Data
4 Mon, Sep 21 Scatterplots and correlation
Wed, Sep 23 Scatterplots and correlation
Thu, Sep 24 Practical problem set: school spending and SAT scores
5 Mon, Sep 28 Intro to probability
Wed, Sep 30 Intro to probability
Thu, Oct 1 Wordle probability
6 Mon, Oct 5 Intro to random variables
Wed, Oct 7 Operations on random variables
Thu, Oct 8
7 Mon, Oct 12
Wed, Oct 14
Thu, Oct 15
8 Mon, Oct 19 Discrete probability distributions
Wed, Oct 21 Discrete probability distributions (continued)
Thu, Oct 22
9 Oct 26–30 Fall break — no lectures
10 Mon, Nov 2
Wed, Nov 4
Thu, Nov 5
11 Mon, Nov 9
Thu, Nov 12
12 Mon, Nov 16
Wed, Nov 18
Thu, Nov 19
13 Mon, Nov 23
Wed, Nov 25
Thu, Nov 26
14 Mon, Nov 30
Wed, Dec 2
Thu, Dec 3
15 Mon, Dec 7
— Thu, Dec 17 Final exam