FW4001
FW 4001 - Biometry (4 Cr.)
Fisheries, Wildlife, and Conservation Biology (11023)
TCOA - College of Food, Agricultural and Natural Resource Sciences
FW 4001 - Biometry (4 Cr.)
Course description
This course covers the basic foundations of statistical methods. In contrast to traditional methods of teaching statistics based on analytical formulas and hand-calculations, we will initially emphasize simulation-based methods (randomization tests, bootstrapping) for analyzing data. Students will learn how to implement common statistical methods (e.g., one and two sample tests, interval estimation techniques, linear regression) in the R programming language, and gain experience analyzing real data from a variety of fields, with particular emphasis on biological examples and applications.
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
AFV - A-F or Audit
Laboratory
Lecture
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Fall