Dr. Wiggins's instructions from the syllabus (with key pts in bold):
This is an interim deliverable to demonstrate progress on your project; your script should include comments identifying what each series of steps in the script is intended to do. In general, you're expected to run some basic descriptive statistics (distributions, means, etc.) that help identify problems with the data or assumptions; if your team has the skills and data for it, you can go a bit further with ANOVA or regression analyses (which will not be covered in class). Again, this is a draft deliverable, so it's a good opportunity for feedback if you're getting stuck or need suggestions on scaling up or scaling back your planned analysis. In particular, if there are issues or questions you'd like to see addressed in class, we will have a Canvas discussion board open so you can nominate and vote on topics to cover in Week 12. Chances are, if you're running into a problem, others are too, so don't be afraid to share your questions or challenges|you're doing us all a favor!
As usual, submit the URL to your R script on Canvas.
Due week 12
Dr. Wiggins's instructions from the syllabus (with key pts in bold):