Intended for decision leaders, this course provides a broad overview of the major concepts of statistics focusing on the critical interpretation of data and reports. The course aims to develop confidence in assessing data and reporting on program evaluations. Topics includes experimental design, sampling, inference, multiple regression, and the contribution of “big data” Using case studies, the course asks what insight data can provide -- and what it cannot -- and compares the perspectives of statistics and ethics.
The mathematical background required is kept to a minimum, though students should be familiar with some algebra and be able to handle data with a calculator and Excel. May not be taken in addition to API-201.
Review session: Friday 2:45-4:00pm (L140)