BTRY 6010
Last Updated
- Schedule of Classes - January 31, 2019 7:14PM EST
- Course Catalog - January 31, 2019 7:15PM EST
Classes
BTRY 6010
Course Description
Course information provided by the Courses of Study 2018-2019.
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: ILRST 6100
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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 Mann Library B30B
Instructors
Basu, S
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