STSCI 3200

STSCI 3200

Course information provided by the Courses of Study 2018-2019.

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

Distribution Category (MQR-AS)

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: BTRY 3020

  • 4 Credits Stdnt Opt

  • 12104STSCI 3200  LEC 001

    • TR
    • Lloyd, R

  • 12105STSCI 3200  LAB 401

    • F
    • Lloyd, R

  • 12106STSCI 3200  LAB 402

    • R
    • Lloyd, R

  • 12107STSCI 3200  LAB 403

    • F
    • Lloyd, R

  • 12553STSCI 3200  LAB 404

    • F
    • Lloyd, R