Lectures (~6-7:30)
- Review Descriptive Statistics, Probability, and Graphical Summaries
- Why integrate qualitative & quantitative: the difference between qualitative & quantitative approaches and what we learn from each. Kathleen’s Slides.
- Intro to R: data structures, expressions, fcns, args, session mgmt, graphics, data entry Judy’s Slides.
- Overview of Experimental Design Project
Labs (~8-9:45)
See \\Orca\programs\qqmethods\Handouts\labs Week1Tue
Assignments:
- by Thursday, read Gotelli Ch. 1-3
- by Thursday, read Dalgaard, Ch. 1-2
- at end of Thursday Lab: Lab Report. hardcopy to Judy or upload to \\Orca\programs\qqmethods\Workspace\_hand-In\Wk1TueLab