STAA 565 - Quantitative Reasoning

  • 1 credit
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Confounding types of bias such as selection bias and regression effect bias, Simpson's paradox, experiments versus observational studies.

This course has print-based exams that require a proctor. ProctorU is not available for this course. Learn more about proctoring for this course.


Concurrent registration in STAA 551 (Regression Models and Applications) or written consent of instructor. This is a partial-semester course.

Textbook and Materials

Visit the Department of Statistics' website for textbook information.


Daniel Cooley
Daniel Cooley

(970) 491-5721 |

Dan Cooley joined the statistics faculty in 2007. His research interests focus around developing methodologies for the analysis of extreme values. In particular, he is interested in multivariate and spatial extremes. Dan collaborates regularly with the Geophysical Statistics Project at the National Center for Atmospheric Research in Boulder.

Dan and his family like to bicycle, hike, ski, swim, and telemark ski.