AGRI 350 - Agricultural Data Analysis and Statistics

Credits: 4

Principles and procedures in the analysis of agricultural data including indices of central tendency and dispersion; probability; sampling; significance tests; analysis of variance; and correlation and simple linear regression. This course is part of the university’s Writing Across the Curriculum/Writing in the Disciplines program.

Pre-Requisites: ENGL 120 - College Composition II or ENGL 121H - Honors Composition II.
Offered: Fall