AG 5200 - Research Design and Data Analysis for Agriculture (3)

Introduction and application of different statistic methods required for the graduate research such as regression, correlation, one and two-way ANOVA with post-hoc tests, Chi-square, and SAS. The basics of design of experiments, such as least factorial design of experiments, hypothesis testing, mean comparisons, regressions and multivariate statistical analysis.

Prerequisite(s): Graduate standing or consent of instructor.
Component(s): Lecture
Contact Hour(s): 3 hours lecture/discussion
Grading Basis: Graded including RP
Repeat for Credit: May be taken only once
Course Category: Major Course