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School of Agriculture and Natural Resources

Dean: Christopher L. Nyberg
Phone: (315) 684-6083

Agricultural Business Development B.B.A.

Course Description

Agricultural Statistics

Involves the application of procedures and techniques for collecting, analyzing, and interpreting agricultural data. The course encompasses an introduction to statistical methods using examples and applications to which students can easily relate. The course also focuses on teaching students basic statistical analysis using the MS Excel spreadsheet program and other pertinent computer tools. Students enrolled in AGSC 137, which is part of the laptop curriculum, will be introduced to these important concepts through lectures and exercises that they may complete on their laptops. Emphasis will be placed on providing the student with problem-solving skills and the ability to interpret the results of basic agricultural statistical analysis. Following a brief introduction to statistics and statistical inference, students enrolled in AGSC 137 are introduced to common measures of central tendency and dispersion used in summarizing agricultural data followed by an introduction to the main concepts of probability and probability distributions and their potential applications in agricultural sciences. Additional topics to be covered include random sampling, confidence intervals, hypothesis testing, correlation analysis, and linear regression (simple and multiple). Prerequisite: MAGN 101 or equivalent 3 credits (3 lecture hours), spring semester