ILRST 6100

ILRST 6100

Course information provided by the Courses of Study 2024-2025. The Catalog/Courses of Study 2025-2026 is scheduled to publish mid-June.

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.

When Offered Fall.

Permission Note Enrollment limited to: graduate students or permission of instructor.

Outcomes
  • 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: BTRY 6010

  • 4 Credits Stdnt Opt

  •  5415 ILRST 6100   LEC 001

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

  • Instruction Mode: In Person
    Enrollment limited to: graduate students or permission of instructor.

  •  5416 ILRST 6100   DIS 201

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

  • Instruction Mode: In Person

  •  5417 ILRST 6100   DIS 202

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

  • Instruction Mode: In Person

  •  5418 ILRST 6100   DIS 203

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

  • Instruction Mode: In Person

  •  5451 ILRST 6100   DIS 204

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

  • Instruction Mode: In Person