BTRY 6010

BTRY 6010

Course information provided by the 2025-2026 Catalog.

Develops and uses statistical methods to analyze data arising from a wide variety of applications. Topics include descriptive statistics, point and interval estimation, hypothesis testing, inference for a single population, comparisons between two populations, one- and two-way analysis of variance, comparisons among population means, analysis of categorical data, and correlation and regression analysis. Introduces interactive computing through statistical software. Emphasizes basic principles and criteria for selection of statistical techniques.


Enrollment Priority REF-FA25 Enrollment limited to: graduate students or permission of instructor.

Distribution Requirements (ICE-IL)

Last 4 terms offered (None)

Outcomes REF-FA25

  • Learn to develop and use statistical methods to analyze data arising from a wide variety of applications. Students should learn to apply methodologies which include descriptive statistics, point and interval estimation, hypothesis testing, inference for a single population, comparisons between two populations, one- and two-way analysis of variance, comparisons among population means, analysis of categorical data, and correlation and regression analysis.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 6100

  • 4 Credits Stdnt Opt

  •  1009 BTRY 6010   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person

    For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  1010 BTRY 6010   DIS 201

    • T
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person

  •  1011 BTRY 6010   DIS 202

    • T
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person

  •  1012 BTRY 6010   DIS 203

    • W
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person

  •  1330 BTRY 6010   DIS 204

    • W
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person