Explore the Modules

Access the modules

Topic 1 - Sampling and Data

Topic 2 - Probability

Topic 3 - Probability and Sampling Distributions

Topic 4 - 1-Sample Confidence Intervals

Topic 5 - 1-Sample Hypothesis Testing

Topic 6 - 2-Sample Inference for Means

Topic 7 - 2-Sample Inference for Proportions

Topic 8 - Regression


Collection PROCESS

The course collection process, presented by the UNC System Statistics Development Team, provides an in-depth overview of the course module content. The below student learning outcomes (competencies) provides faculty and instructional designers with the necessary scaffolding to explore the course objectives, instructional materials, learning activities, and various assessments of this course. A careful curation of Open Educational Resources (OER) has been used to support the achievement of the stated student learning outcomes.

STUDENT LEARNING OUTCOMES (SLOs)

  1. CO1 - Students should be able to describe important characteristics of a data set. (Describe can be in words or can mean to calculate values when appropriate)

  2. CO2 - Students should be able to infer appropriate information from sample data. (verify, validate, conclude...to the population)

  3. CO3 - Students should be able to interpret their results (from CO1 and CO2). (what does it mean? why is it useful?)

  4. CO4 - Students should be able to communicate their results (from CO1, CO2, and CO3). (tell others, show others)