Overview
Description
This course provides a comprehensive basis of experimental design for agriculture sciences. Students are exposed to general principles of statistics, probability, variance, field experimentation and data collection using mixed modeling approach.
Requirements
Prerequisites
- prior experience with research and/or scientific experimentation
Original catalog text
Prerequisites
Prerequisite(s): prior experience with research and/or scientific experimentation.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring - Even Years
Terms
spring
Attributes
Standard
Learning Outcomes
- define, classify and assign experimental designs.
- evaluate the research coherence and cohesion within a scientific manuscript.
- determine statistical limitations within research papers and trials.
- distinguish many possible interactions that may jeopardize research results and/or level of statistical inference.
- compare and hypothesize a more suitable design for a research trial.
- devise statistical solutions for upcoming agricultural research trials.