BTRY 6010
Last Updated
- Schedule of Classes - June 11, 2025 2:48PM EDT
Classes
BTRY 6010
Course Description
Course information provided by the 2025-2026 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.
Forbidden Overlaps REF-FA25 AEM 2100, BTRY 3010, BTRY 6010, CRP 1200, ENGRD 2700, HADM 2010, HADM 2011, ILRST 2100, ILRST 6100, MATH 1710, PSYCH 2500, PUBPOL 2100, PUBPOL 2101, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200. In addition, no credit for MATH 1710 if taken after ECON 3130, ECON 3140, MATH 4720, or any other upper-level course focusing on the statistical sciences.
Enrollment Information REF-F25 Enrollment limited to: graduate students or permission of instructor.
Last 3 terms offered 2024FA, 2023FA, 2022FA
Learning Outcomes REF-FA25
- 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: 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
- Aug 25 - Dec 8, 2025
Instructors
Kent, D
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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Class Number & Section Details
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Meeting Pattern
- T
- Aug 25 - Dec 8, 2025
Instructors
Kent, D
-
Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- T
- Aug 25 - Dec 8, 2025
Instructors
Kent, D
-
Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- W
- Aug 25 - Dec 8, 2025
Instructors
Kent, D
-
Additional Information
Instruction Mode: In Person
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