STSCI 5200

STSCI 5200

Course information provided by the Courses of Study 2023-2024.

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.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: one semester of calculus.

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8226 STSCI 5200   LEC 001

    • TR Warren Hall B25
    • Aug 21 - Dec 4, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  8227 STSCI 5200   DIS 201

  • Instruction Mode: In Person

  •  8228 STSCI 5200   DIS 202

  • Instruction Mode: In Person

  •  8229 STSCI 5200   DIS 203

  • Instruction Mode: In Person

  •  8230 STSCI 5200   DIS 204

  • Instruction Mode: In Person

  •  8231 STSCI 5200   DIS 205

  • Instruction Mode: In Person

  •  8232 STSCI 5200   DIS 206

  • Instruction Mode: In Person