The Dana Center Mathematics Pathways (DCMP) Statistical Reasoning (SR) course is a college-level introductory statistics course organized around broad statistical concepts and intended to serve students pursuing careers in business, allied health, nursing, and the social and behavioral sciences.
Throughout this course, students analyze data, construct and test hypotheses, solve problems, reflect on their work, and make connections between concepts. Students also use simulations and statistical software to analyze and understand data. It is recommended this course be assigned four contact hours per week.
Explore Statistical Reasoning Materials
This course develops essential conceptual understanding by supporting students in:
- Learning good practice in study design
- Presentation and interpretation of univariate data using both graphical and numerical methods
- Discrete and continuous probability distributions
- Linear regression
- Statistical inference
- Confidence intervals
- Hypothesis testing
- Inference for regression
- Analysis of variance.
Statistical literacy and statistical thinking are primary themes throughout the course, which promotes student success in future courses, helps students gain skills for the workplace, and prepares them for participation as well-informed, productive citizens.
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.