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: 
4.0
Typical Offerings:  every AU and SP

 


Recent Syllabi


PDF icon SP18 STAT 3202 Karwa [pdf]   
PDF icon SP18 STAT 3202 Lee [pdf]

PDF icon AU17 STAT 3202 Chang [pdf]

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

PDF icon 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.