This course is intended to provide a foundation in the proper design of scientific research projects in the field of biology. A wide range of biological experiments will be covered, and each type of experiment will be explored with an eye toward choosing the appropriate statistical technique for analysis. By the end of the course, successful students will be able to design biological studies that are statistically tractable and perform basic statistical analyses using the programming language R.
Class meets in BSBW room B25 TR 2:20-3:35.
For more information email Dr. Blackmon.
|1||Introduction to R and statistics
|WS CH. 1-2|
|beyond the bar|
|2||Using R examples
Monte Carlo Script
Summaries and estimates
|3||Probability and Bayes' theorem
| WS CH. 3-4
|4||Proportions and categories
|WS CH. 6-9|
| WS CH. 10-13
|6||ANOVA||WS CH. 14-16|
|8||Student Research Week and Midterm Review||
p-value paper (emailed)
WS CH. 17-18
|10||Random Effects Models||Newts|
Species as data points|
|data file 1|