The Dana Center Mathematics Pathways (DCMP) Quantitative Reasoning (QR) course is a college-level course designed for students who are focused on developing quantitative reasoning skills meaningful to their professional, civic, and personal lives.
Such reasoning is a habit of mind—seeking pattern and order when faced with unfamiliar contexts. This course uses collaborative learning techniques to help students recognize the need for data-driven decision making, and brings to light the dangers inherent in basing decisions solely on anecdotal evidence.
Mathematical concepts in Quantitative Reasoning include:
- Mathematical modeling
- Basic statistical reasoning
- Analysis of complex information using graphical strategies
QR is recommended as a three-credit course, and is commonly used to support liberal arts and humanities programs.
Explore Quantitative Reasoning Materials
Curricular materials, instructor resources, and student resources for the course are available on Pearson’s MyMathLab, and include lesson planning suggestions, suggested resources and preparation, suggested assessments and reflections, collaborative in-class activities, online preview and practice assignments, StatCrunch, and a library of Learning Catalytics questions.