ILRST 6100

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ILRST 6100

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 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

  •  8142 ILRST 6100   LEC 001

    • TR
    • Aug 26 - Dec 9, 2024
    • Kent, D

  • Enrollment limited to: graduate students or permission of instructor.

  •  8143 ILRST 6100   DIS 202

    • T
    • Aug 26 - Dec 9, 2024
    • Kent, D

  •  8144 ILRST 6100   DIS 203

    • T
    • Aug 26 - Dec 9, 2024
    • Kent, D

  •  8145 ILRST 6100   DIS 204

    • W
    • Aug 26 - Dec 9, 2024
    • Kent, D

  •  8254 ILRST 6100   DIS 205

    • W
    • Aug 26 - Dec 9, 2024
    • Kent, D