Using highly interactive learning design, this Concepts in Statistics course provides students with a strong understanding of fundamental principles that guide the study of statistical inference. Drawing from Open Learning Initiative (OLI) source content, this course’s simulations and lab-style synthesis activities invite hands-on exploration of statistical concepts. Students learn to summarize data graphically and numerically; examine relationships among quantitative data; understand the role of probability and probability distributions; link probability to statistical inference; and conduct foundational statistical calculations and analyses.
The faculty resource guide provides details on the content, teaching strategies, and recommendations for the use of the Quantitative Reasoning collection for your course.
The collection was compiled by a team of subject area experts, an instructional designer and a librarian with expertise in Open Educational Resources. The collection includes student learning outcomes used to design the Quantitative Reasoning course content collection and seven learning modules aligned with those outcomes: Quantity and Proportion, Analysis of Growth, Voting Theory, Financial Literacy, Descriptive Analysis-Collecting Data, Descriptive Analysis-Describing Data, and Probability. The modules contain instructional materials, resources, and assessments further aligned with the outcomes. In addition to the information you find here in the Implementation Guide, you will find additional explanations and suggestions within individual modules and alongside specific artifacts.