Unit 1
Quantities, Units & Data
- Units and dimensional reasoning
- Ratios, rates, and percentages
- Reading tables and data displays
- Estimation and reasonableness
- Quantitative communication
← Back to College Mathematics
College Mathematics
MATH 141 — Quantitative Reasoning & Problem Solving
A quantitative reasoning course emphasizing data, everyday contexts, mathematical reasoning, and evidence-based conclusions.
Course overview
A quantitative reasoning course emphasizing data, everyday contexts, mathematical reasoning, and evidence-based conclusions.
Math Aficionado uses this structure as a tutoring roadmap: lessons can be paced around the student's current level, school sequence, assignments, and assessment goals rather than forcing every student through the same timetable.
Units & topics
Unit 2
Financial & Consumer Mathematics
- Simple and compound interest
- Loans and amortization
- Credit and borrowing
- Inflation and purchasing power
- Personal financial models
Unit 3
Probability & Risk
- Sample spaces and events
- Basic probability rules
- Conditional probability in context
- Expected value
- Risk and uncertainty
Unit 4
Statistics & Data Displays
- Distributions and variability
- Mean, median, and spread
- Graphs and misleading displays
- Correlation and association
- Interpreting statistical claims
Unit 5
Models & Evidence
- Choosing quantitative models
- Predictions and extrapolation
- Model assumptions
- Residual/error thinking
- Limitations and uncertainty
Unit 6
Quantitative Arguments & Applications
- Evaluating claims with evidence
- Multi-step contextual problems
- Tables, graphs, equations, and words
- Comparing competing models
- Writing defensible quantitative conclusions
Curriculum reference: University of Wisconsin–Madison Guide / Department of Mathematics. The page is an independent tutoring roadmap and is not an official course page of the source institution.
READY TO GET STARTED?
Want help with this course?
Tell Math Aficionado the exact class, unit, or problem set you are working on.