Experimental Design/Analysis
Durham
Life Sciences & Agriculture :: Agriculture, Nutr & Food Sys
Credits: 4.0
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Class Size:
20
CRN: 56970
CRN: 56970
Through in-depth consideration of common general linear models used in the analysis of variance, this course introduces graduate students to the fundamental concepts and statistical methods necessary to plan, conduct, and interpret effective experiments. The course provides an opportunity for graduate students to receive critical input on the experimental design and analysis of their individual research projects. All analyses are conducted using the open-source package R; no previous coding experience is required. Prereq: Intro statistics (e.g. BIOL 528) or permission of instructor.
Instructors: Iago Hale
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/21/2020 | 5/4/2020 | TR | 11:10am - 12:30pm | PETT 109 |
1/21/2020 | 5/4/2020 | R | 4:10pm - 5:30pm | KING N134 |