ILRST 6100
Last Updated
- Schedule of Classes - January 9, 2020 9:13AM EST
- Course Catalog - January 9, 2020 9:14AM EST
Classes
ILRST 6100
Course Description
Course information provided by the Courses of Study 2019-2020.
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 standing 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 laboratory. 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 Plant Science Building 233
Instructors
Basu, S
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Additional Information
Enrollment limited to: graduate students or permission of instructor.
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Class Number & Section Details
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Meeting Pattern
- T Mann Library B30A
Instructors
Basu, S
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Class Number & Section Details
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Meeting Pattern
- T Mann Library B30A
Instructors
Basu, S
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Class Number & Section Details
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Meeting Pattern
- W Mann Library B30A
Instructors
Basu, S
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Class Number & Section Details
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Meeting Pattern
- T Warren Hall B02
Instructors
Basu, S
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