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AGRON 513 1 Fall 2020 - Quantitative Methods for Agronomy
3 credit hours
August 24, 2020 - December 18, 2020
Marin Harbur, email@example.com, 515-294-2999
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 organization, analyzing, and presenting data. Required course for the Master of Science in Agronomy degree program.
AGRON 181 or equivalent
Required Course Materials:
Clewer, Alan and Scarisbrick, David. Practical Statistics and Experimental Design for Plant and Crop Science. 1st Ed. February 2001. Wiley, John & Sons, Inc. Paperback ISBN 9780471899099. eTextbook ISBN 978-0471899082.
Controlled Enrollment: AGR. Restricted to graduate students enrolled in the MS Agronomy and Agronomy Graduate Certificate online degree programs. All other majors contact the MS Agronomy program office at 515-294-2999 or firstname.lastname@example.org.