BTRY 6010

BTRY 6010

Course information provided by the Courses of Study 2022-2023.

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 laboratory. Combined with: ILRST 6100

  • 4 Credits Stdnt Opt

  •  1015 BTRY 6010   LEC 001

    • TR To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Wells, M

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

  •  1016 BTRY 6010   LAB 402

    • T To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: In Person

  •  1017 BTRY 6010   LAB 403

    • T To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: In Person

  •  1018 BTRY 6010   LAB 404

    • W To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: In Person

  •  2409 BTRY 6010   LAB 405

    • W To Be Assigned
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: In Person