Some general things to know for all: rough drawings of distributions, how one would find p-values for normal and \(\chi^2\) distributions, cross classification of variables in tables.
I will add example exercises associated with each of these shortly
Univariate Data
Two-way Tables
Tests of Independence
Fisher’s Exact Test
Three-way Tables
R Programming
List of expectations for points. I will continue to fine tune or iterate upon this in the coming days
Will grade each of the three topics separately and round to the nearest integer of the mean (i.e., scoring a 5, 6, and 6 will result in an average of 5.6, rounding to 6).
Remember: more than anything, this is an opportunity for us to have a discussion about the course material and for me to offer feedback on how well things are going based on our discussion. It is an assessment, but it is also an opportunity for us to identify strengths and weaknesses for the rest of the semester
| Points | Equivalent Letter | Expectations |
|---|---|---|
| 7 | A | Mastery of material. Able to fluently discuss a topic with minimal difficulty or error. Clearly communicate the goal or purpose of methods or offer insight into the relationship between topics, can provide examples or elaborate upon examples given |
| 6 | A-/B+ | Very competent in the material. Able to discuss major components of a topic with minimal difficulty, though may need some prompting for niche aspects. Can comment on examples shown but may not necessarily be able to generalize to other cases |
| 5 | B+/B | Competent in the material. Can discuss the major components of a topic with some prompting, may need to be more carefully walked through adjacent aspects |
| 4 | C | Some familiarity with gist of the main ideas but has difficulty elaborating upon them or explaining their significance, even with prompting. Not able to discuss relevance or application |
| 1 | F | Boo hiss |