ILRST 6100
Last Updated
- Schedule of Classes - September 10, 2024 10:17AM EDT
- Course Catalog - September 10, 2024 9:48AM EDT
Classes
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ILRST 6100
Course Description
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.
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 6010
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Aug 26 - Dec 9, 2024
Instructors
Kent, D
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Additional Information
Enrollment limited to: graduate students or permission of instructor.
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Class Number & Section Details
-
Meeting Pattern
- T
- Aug 26 - Dec 9, 2024
Instructors
Kent, D
-
Class Number & Section Details
-
Meeting Pattern
- T
- Aug 26 - Dec 9, 2024
Instructors
Kent, D
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 26 - Dec 9, 2024
Instructors
Kent, D
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