STSCI 5200

STSCI 5200

Course information provided by the 2025-2026 Catalog.

In this course, students develop statistical methods and apply them to problems encountered in the biological and environmental sciences. Methods include data visualization, population parameter estimation, sampling, bootstrap resampling, hypothesis testing, the Normal and other probability distributions, and an introduction to linear modeling. Applied analysis is carried out in the R statistical computing environment.


Prerequisites/Corequisites Prerequisite: one semester of calculus.

Last 4 Terms Offered 2025FA, 2024FA, 2023FA, 2022FA

When Offered Fall.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3010BTRY 5010STSCI 2200

  • 4 Credits Stdnt Opt

  •  5185 STSCI 5200   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  5186 STSCI 5200   DIS 201

    • M
    • Aug 25 - Dec 8, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  5187 STSCI 5200   DIS 202

    • M
    • Aug 25 - Dec 8, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  5188 STSCI 5200   DIS 203

    • M
    • Aug 25 - Dec 8, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  5189 STSCI 5200   DIS 204

    • M
    • Aug 25 - Dec 8, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  5190 STSCI 5200   DIS 205

    • M
    • Aug 25 - Dec 8, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  5191 STSCI 5200   DIS 206

    • M
    • Aug 25 - Dec 8, 2025
    • Entner, J

  • Instruction Mode: In Person