Courses of Study 2017-2018 
    
    Nov 16, 2018  
Courses of Study 2017-2018 [ARCHIVED CATALOG]

[Add to Favorites]

BTRY 3020 - Biological Statistics II

(crosslisted) STSCI 3200  
(OPHLS-AG)      
Spring. 4 credits. Student option grading.

Forbidden Overlap: due to an overlap in content, students may receive credit for only one course in the following group: BTRY 3020, STSCI 3200 , and ILRST 2110 .
Prerequisite: BTRY 3010  or equivalent.

C. Earls.

Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood approach, matrix formulation, generalized linear models, single-factor and multifactor analysis of variance (ANOVA), and a brief foray into nonlinear modeling. Carries out applied analysis in a statistical computing environment.

Outcome 1: Students will be able to design a statistical experiment using randomization techniques.

Outcome 2: Students will be able to analyze multivariate linear and nonlinear data that include quantitative and qualitative variables.

Outcome 3: Students will be able to apply generalized linear model, generalized additive models, and mixed effects models to appropriately collected data.

Outcome 4: Students will be able to formulate and evaluate parametric and nonparametric methods for determining model uncertainty.

Outcome 5: Students will be able to employ matrix methods to effectively design and implement linear models.

Outcome 6: Students will be able to assess the quality of a statistical analysis.



[Add to Favorites]