BTRY 3020

Course information provided by the Courses of Study 2015-2016.

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.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: BTRY 3010 or BTRY 6010.

Outcomes
  • Students will be able to design a statistical experiment using randomization techniques.
  • Students will be able to analyze multivariate linear and nonlinear data that include quantitative and qualitative variables.
  • Students will be able to apply generalized linear model, generalized additive models, and mixed effects models to appropriately collected data.
  • Students will be able to formulate and evaluate parametric and nonparametric methods for determining model uncertainty.
  • Students will be able to employ matrix methods to effectively design and implement linear models.
  • Students will be able to assess the quality of a statistical analysis.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Choose one lecture and one laboratory. Combined with: NTRES 4130STSCI 3200

  • 4 Credits Graded

  •  1429BTRY 3020  LEC 001

  • Prerequisite: BTRY 3010 or 6010.

  •  1430BTRY 3020  LAB 401

  •  1431BTRY 3020  LAB 402

  •  4001BTRY 3020  LAB 403