Monday, August 21, 2017 to Friday, December 15, 2017
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. Enrollment priority given to distance MS Agronomy degree students.