Courses of Study 2023-2024 
    Jun 21, 2024  
Courses of Study 2023-2024 [ARCHIVED CATALOG]

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BTRY 3020 - Biological Statistics II

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

Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: BTRY 3020, STSCI 3200 , ILRST 2110 , STSCI 2110 .
Prerequisite: BTRY 3010  or equivalent. Co-meets with BTRY 5020 /STSCI 5201 .

J. Entner.

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.

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