This course gives students experience in real-world sampling design and data analyses. At its core, this is a statistics class and much of the focus is on specialized statistical design and analysis approaches that are frequently used in forestry, fisheries, and wildlife research. Topics include applied regression, mixed models, ANCOVA, and repeated-measures analysis. Additionally, analysis tools including a variety of resampling methods, non-linear modeling, indices assessment, and capture-recapture methods will be explored. Each topic is complimented by both a lab exercise analyzing data sets and a weekly discussion focused on classic and contemporary analysis issues in ecological statistics. This class is unique in that it is team taught by faculty from FAS and IFAS Statistics with each faculty member bringing a unique perspective to the course.
Credits: 3
Prerequisites: STA 6166 or FAS 5335C or instructor consent
Offered in even years
DOWNLOAD SYLLABUS
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LAB/FIELD COMPONENT
There are no labs or field trips associated with this course.
