ILRST 6100

ILRST 6100

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: BTRY 6010

  • 4 Credits Stdnt Opt

  • 11209 ILRST 6100   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.

  • 11210 ILRST 6100   LAB 402

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

  • Instruction Mode: In Person

  • 11211 ILRST 6100   LAB 403

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

  • Instruction Mode: In Person

  • 11212 ILRST 6100   LAB 404

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

  • Instruction Mode: In Person

  • 11346 ILRST 6100   LAB 405

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

  • Instruction Mode: In Person