AGRI 350 Agricultural Data Analysis and Statistics

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. Fall. Course fee required.

Credits

4