Mini exercises (10%): These are shorter exercises that will often wrap up something we complete in class and/or be a catalyst for what we do in the next class.
Full exercises (30%): These are longer exercises to give you practice with running different analyses we cover in class. There are 7 total and your six highest scores will count towards your grade (one will be dropped from grade calculations).
Run your own study (10%): This is an individual project in which you will plan a study and I will give you simulated data to analyze. You will submit three components of this project indicated with RYOS on the course outline:
Part 1 – Research question, study design, and pilot study plan
Part 2 – Full experiment plan (including power analysis)
Part 3 – Data analysis & writeup
Exams (35%): There will be three exams in this course. The first two midterms, worth 15% each, will occur in class. At each midterm you will also submit a draft of your R cheat sheet. The third exam is a take-home exam to be submitted along with your final project.
R Cheat Sheet (5%): Throughout the semester, you will develop an R programming Cheat Sheet covering the functions we learn in class. At each midterm you will submit a draft of this with each draft worth 25% of this graded component. The final R Cheat Sheet you submit is worth the other 50% of this component.
Final Project (10%): For this project you will use a publicly available data set to develop a research question, plan a statistical analysis, run that analysis and write it up.
Note the 3rd exam (take home), final R Cheat Sheet, and Final Project are all due at our scheduled final exam period (to be announced by the Registrar in February).