Agricultural Statistics (AGST)
Courses
AGST 50104. Experimental Design. 4 Hours.
Types of experimental designs, their analysis and application to agricultural research. Lecture 3 hours and laboratory 2 hours per week. Corequisite: Lab component. Prerequisite: AGST 50203 or STAT 50133. (Typically offered: Spring)
AGST 50203. Principles of Experimentation. 3 Hours.
Fundamental concepts of experimental and statistical methods as applied to agricultural research. Lecture 3 hours per week. (Typically offered: Fall, Spring and Summer)
AGST 5040V. Special Topics. 1-4 Hour.
Topics not covered in other courses or a broader-based study of specific topics in statistics and related areas. Prerequisite: Graduate standing. (Typically offered: Irregular) May be repeated for degree credit.
AGST 5500V. Statistical Consulting. 1-3 Hour.
Designed to give students a statistical consulting practicum. Students meet with clients, analyze data and prepare reports for the clients. (Typically offered: Fall) May be repeated for up to 6 hours of degree credit.
This course is cross-listed with STAT 5500V.
AGST 57103. Applied Regression Analysis for Agricultural Sciences. 3 Hours.
Analysis of agricultural experiments which contain quantitative factors through regression procedures. Lecture 3 hours per week. Prerequisite: AGST 50203 or STAT 50133. (Typically offered: Fall)