BTRY 5010

BTRY 5010

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.

Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, BTRY 3010, BTRY 6010, ENGRD 2700, HADM 2010, ILRST 2100, ILRST 6100, MATH 1710, PUBPOL 2100, PUBPOL 2101, PSYCH 2500, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200.

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 3010STSCI 2200STSCI 5200

  • 4 Credits Stdnt Opt

  •  1622 BTRY 5010   LEC 001

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

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  1623 BTRY 5010   DIS 201

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

  • Instruction Mode: In Person

  •  1624 BTRY 5010   DIS 202

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

  • Instruction Mode: In Person

  •  1625 BTRY 5010   DIS 203

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

  • Instruction Mode: In Person

  •  1626 BTRY 5010   DIS 204

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

  • Instruction Mode: In Person

  •  1627 BTRY 5010   DIS 205

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

  • Instruction Mode: In Person

  •  1628 BTRY 5010   DIS 206

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

  • Instruction Mode: In Person