STAT 3202: Introduction to Statistical Inference for Data Analytics

January 31, 2017
Foundational inferential methods for learning about populations from samples, including point and interval estimation, and the formulation and testing of hypotheses. Statistical theory is introduced to justify the approaches. The course emphasizes challenges that arise when applying classical ideas to big data, partially through the use of computational and simulation techniques. Prereq: C- or better in 3201, or permission of instructor.
Credit Hours: 

Typical Offerings:  every AU and SP

Recent Syllabi

AU18 STAT 3202 Dalpiaz [pdf]

SP18 STAT 3202 Sinnott [pdf]  
SP18 STAT 3202 Lee [pdf]

AU17 STAT 3202 Chang [pdf]

SP17 STAT 3202 Kubatko [pdf]    
SP17 STAT 3202 Sinnott [pdf]

SP15 STAT 3202 Kabatko [pdf]

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To find course availability and times, please visit the Ohio State Course Catalog and Master Schedule.