Courses of Study 2013-2014 
    Oct 04, 2022  
Courses of Study 2013-2014 [ARCHIVED CATALOG]

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BTRY 3020 - Biological Statistics II

(also NTRES 4130 , STSCI 3200 )
Spring. 4 credits. Letter grades only.

Prerequisite: BTRY 3010  or BTRY 6010 .

P. Sullivan.

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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