Principles of OCEAN Statistics courses

 

1. The OCEAN statistics course will use a college-level text. The two-semester sequence will cover exploratory data analysis, data collection, probability and inference.
2. The course will feature data collection and analysis activities, in addition to traditional lecturing.
3. Students will be expected to complete at least two projects. One of these will concentrate on exploratory data analysis. One project will include data collection by the student as well as statistical inference. Projects may be done by individuals or in small groups.
4. Technology will be used to assist in the analysis of data (for example, in creating statistical graphs and fitting models to data), as well as to help with the teaching of important topics (such as the use of simulation when teaching probability)
5. OCEAN instructors should give at least three in class or take-home exams per semester, some of which should include open-ended investigations of data sets.
6. Although correct calculation of statistical quantities is important, OCEAN courses will place a heavy emphasis on clear communication of results. Clarity of written communication will count for a substantial part of a student’s grade.
7. Instructors of OCEAN courses will provide a syllabus of the assignments due dates to each of the students. The syllabus should include a statement of course goals, assignments, grading policies, and examination requirements.
8. Oberlin College Faculty in Statistics will visit the OCEAN secondary faculty at their home schools at least once per semester.
9. OCEAN statistics classes should visit the Oberlin campus at least once a year.