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. Not open to students with credit for 4202.
Typical Offerings: every AU and SP
[pdf] - Some links on this page are to Adobe .pdf files requiring the use of Adobe Reader. If you need them in a more accessible format, please contact firstname.lastname@example.org.