ILRST 6100

ILRST 6100

Course information provided by the Courses of Study 2021-2022.

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:
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6010

  • 4 Credits Stdnt Opt

  • 13027 ILRST 6100   LEC 001

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

  • 13028 ILRST 6100   LAB 402

  • Instruction Mode: In Person

  • 13029 ILRST 6100   LAB 403

  • Instruction Mode: In Person

  • 13030 ILRST 6100   LAB 404

  • Instruction Mode: In Person

  • 13167 ILRST 6100   LAB 405

  • Instruction Mode: In Person