AGR 330 - Statistical Applications in Agriculture

Credit Hours: 3
Collection, display, analysis and application of agricultural data, including measurement of location and dispersion, probability, normal distribution, sampling, sampling distributions, hypothesis testing, analysis of variance, correlation and regression analysis. Computer statistical packages will be used for simulation study and agricultural data analysis. Applications are specific to Agriculture. Cannot receive credit toward a degree for more than one of the following courses: AGR 330, IPE 381, MTH 340, PSY 200, QBA 237, REC 328, SOC 220.

Recommended Prerequisite: MTH 130 or higher.

Lecture contact hours: 2 Lab contact hours: 2

Typically offered: Fall, Spring