This introductory course is designed for undergraduate and graduate students in agricultural, environmental, and natural resources who require an understanding of basic statistics in an agricultural context. This course provides students with a conceptual and practical understanding of the applications of basic statistics. This in-person course uses a combination of lectures, demonstrations, M-G CAFE researcher datasets, group activities, and primary literature to teach introductory statistics through the R programming language. You do not need to know R before you come to class, but you will become familiar with it once you leave.
Special topical or experimental courses in crop science, soil science or related areas of horticulture, or plant physiology for graduate and advanced undergraduate students. Special subtitle required and must be approved by the chair of Agronomy or Horticulture. A particular subtitle may be offered twice under PLS 597. Students may not repeat under the same subtitle.
Special topical or experimental courses in crop science, soil science or related areas of horticulture, or plant physiology for graduate and advanced undergraduate students. Special subtitle required and must be approved by the chair of Agronomy or Horticulture. A particular subtitle may be offered twice under PLS 597. Students may not repeat under the same subtitle.
