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UNC System Introduction to Statistics Digital Course
Unrestricted Use
CC BY
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The Statistics team attempted to identify the most common topics that are covered in such an introductory course in statistics. Through a collaborative effort involving Statistics faculty, instructional designers, instructional technologists, and librarians across the UNC System, the course materials and resources have been collected, curated, and organized into modules. The modules may be used in part or in total as a basis for an Introduction to Statistics course. As you review the collection to find materials that could serve your needs, you may find that there are a number of student learning outcomes that your institution does not include in its Introduction to Statistics courses. We recognized that different institutions may emphasize different topics, so we wanted to offer resources that would align with the largest possible cross-section of those topics.

We also approached this project with the view that the resource collection should serve instructors with varied levels of online teaching experience and different needs. We aimed to provide a library of resources that could be used to create a full Introduction to Statistics course but have presented those resources in a way in which faculty could select any subset of the resources to serve their needs.

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Author:
Beth Bumgarner
Jeff McLean
John Wagaman
Corey Redd
Date Added:
12/09/2020
UNC System Quantitative Reasoning Digital Course
Unrestricted Use
CC BY
Rating
0.0 stars

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.

Subject:
Mathematics
Material Type:
Full Course
Author:
Beth Bumgarner
Daniel Best
Katie Mawhinney
Corey Redd
Date Added:
12/09/2020