Introduction

Introduction

Course Description: Quantitative methods for analyzing and interpreting agronomic information. Principles of experimental design, hypothesis testing, analysis of variance, regression, correlation, and graphical representation of data. Use of SAS and Excel for organizing, analyzing, and presenting data. Required course for the Master of Science in Agronomy degree program.

Course Prerequisites: AGRON 181 or equivalent, MATH 140, STAT 104. Restricted to graduate students enrolled in MS Agronomy online degree program at ISU. Students from other departments must get permission.

 

Instructor

Dr. Marin Harbur
mharbur@iastate.edu

To learn more about Dr. Harbur read her welcome message in the Announcements section of Blackboard Learn.