BIOL 436 - Advanced Applied Statistics (4)

Linear models, including mixed models, applied to experimental and field data from current research projects. Poisson and logistic regression. Model fitting and checking; use of permutation tests as needed. Presentation of results suitable for publication (3 hours lecture, 3 hours laboratory) (BIOL 436 and MATH 436 are the same course.)

Prerequisite: MATH 338 with a C (2.0) or better, or graduate standing.

400-level Undergraduate Course available for Graduate Credit