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Statistical Modeling for Discovery I

STAT 3301: Statistical Modeling for Discovery I

Statistical models for data analysis in the linear regression framework. The challenges of developing meaningful models for data are explored, with emphasis on the model building process, the use of numerical and graphical diagnostics for assessing model fit, and interpretation and communication of results. Statistical foundations are introduced along with basic inferential techniques.
Prereq: C- or above in 3202; or 4202 and 5730; or permission of instructor. Prereq or concur: Math 2568, or permission of instructor.
Credit Hours
3

Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.


Recent Syllabi

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AU20 STAT 3301 Hans [pdf]
AU20 STAT 3301 Smillie [pdf]

AU19 STAT 3301 Hans [pdf]

AU18 STAT 3301 Hans [pdf]

AU17 STAT 3301 Hans [pdf]

AU16 STAT 3301 Hans [pdf]

AU15 STAT 3301 Hans [pdf]



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Semester(s) Offered:

Autumn