| Learning Goal | Assessment |
|---|---|
| Learn to summarize data numerically and graphically for exploratory data analysis | When the class is being assessed, the final exams will include embedded questions to assess student performance on these topic-specific learning goals. Instructors will tally their students' scores on these questions, and will forward this data to the chair of the department pre-major curriculum committee |
| Learn about issues involving non-normal data, data collection, and design of experiments | same |
| Learn the fundamentals of probability to be able to describe a random sample using proper mathematical language and to compute values related to random samples, especially Binomial data and normal data. | same |
| Learn inferential techniques for univariate tests, linear regression, and other models, including an understanding of the importance of assumptions and proper interpretation of results. May include discussion on non-parametric alternatives and computational approaches. | same |
When assessment activities are done, the results will be summarized in memorandum form and filed with the department chairperson for record keeping
purposes.
Information obtained from assessment will be used to assess and self-reflect on the success of the course and to make any necessary changes to
improve teaching and learning effectiveness.