Statistical Methods for the Agricultural and Natural Resource Sciences

Catalog description

Brief review of statistical principles. Use of SAS programming. Numerous analysis of variance techniques along with commonly used experimental designs. Multiple mean comparisons, linear contrasts, power of F test, simple linear regression, polynomial regression, analysis of covariance, and some categorical data techniques for student in the agriculture and natural resources sciences. Credit cannot be earned in more that one of the following courses: STAT 2100, STAT 3050 , STAT 5050 , 5060, STAT 5070 , STAT 5080 .