ILRST 6100

ILRST 6100

Course information provided by the 2016-2017 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.


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.

When Offered Fall.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6010

  • 4 Credits Stdnt Opt

  • 15068 ILRST 6100   LEC 001

  • Instruction Mode: In Person

    Enrollment limited to: graduate students or permission of instructor.

  • 15069 ILRST 6100   LAB 402

  • Instruction Mode: In Person

  • 15070 ILRST 6100   LAB 403

  • Instruction Mode: In Person

  • 15071 ILRST 6100   LAB 404

  • Instruction Mode: In Person

  • 15251 ILRST 6100   LAB 405

  • Instruction Mode: In Person