About
Course description
Applied Statistics introduces the basic tools of descriptive and inferential statistical analysis. In this course, we will cover the data-analysis concepts and procedures used in economics, business and other social sciences. Emphasis will be given to the manipulation of real data sets to obtain useful and meaningful statistical results, to the qualitative interpretation of such results, and to the effective communication in numbers, graphs and words of the insights thus developed. Theory will be combined with data collection and curation, as well as computer lab work with a statistical software package. Students will be encouraged to develop an attitude of mind that accepts uncertainty and variability as part of problem analysis and decision making.
Meeting times
| Day | Time | Building | Room |
|---|---|---|---|
| Monday | 12:10 PM – 1:30 PM | C | C-302 |
| Wednesday | 12:10 PM – 1:30 PM | Passage Landrieu | PL-4 |
| Thursday | 12:10 PM – 1:30 PM | C | C-302 |
Final exam: 2026-12-17, 12:30 PM, PL-5.
Course learning outcomes
- Appreciate the use of mathematics in modeling the world.
- Clearly communicate quantitative information in words, in numbers and with graphs.
- Develop a positive approach to mathematics.
- Develop strategies for solving problems.
- Have familiarity and fluency in using a statistical software package.
- Reason with quantitative information – in words, numbers, graphs and charts.
- Take into account uncertainty and ethics applied to statistics.
- Use descriptive statistics to describe samples, populations, and relationships between variables (independence, regression).
- Use techniques of inferential statistics appropriately (confidence intervals, hypothesis tests for proportions, means, chi-squared tests and linear regression).
Grading policy
- Midterm: 30%
- Final exam: 30%
- Weekly tests: 30%
- Attendance: 10%
Attendance policy
Students at The American University of Paris are expected to attend all scheduled classes; in case of absence, students should contact the instructor to explain the situation. Attendance at all exams is mandatory. Responsibility for communicating about missed course meetings and arranging to make up missed work rests solely with the student.