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Course Description

STAT 110 - Introduction to Statistical Reasoning

Class Session: Monday, October 23, 2017 - Monday, December 11, 2017

Credit: 3 semester hours of undergraduate credit

Instructor: Leslie Hendrix

Note: This section is restricted to NURS - RNBSN program.


Course Description

A course in statistical literacy. Topics include data sources and sampling, concepts of experimental design, graphical and numerical data description, measuring association for continuous and categorical variables, introduction to probability and statistical inference, and use of appropriate software.


General Information

All students will view the class lectures via the Internet using an Adobe Connect URL that will be posted in Blackboard by the instructor. High-speed Internet access is required for Adobe Connect. This is not a self paced course.


Course Delivery Type

A Web course is taught using one or more web delivery platforms such as Blackboard, Streaming Video, Adobe Connect etc. Students must have access to a high-speed Internet connection. More information will be provided by the instructor in the course syllabus.

(100% asynchronous - if course has any online or face-to-face meetings, live attendance will not be required. For any such sessions, there will be alternative ways to view or obtain the material covered).


Course Materials

Textbooks are available from the USC University Bookstore in the Russell House Student Union, Greene Street, Columbia, SC, 803-777-4160 (toll free at 888-654-5320). Online text ordering is available through the bookstore Web site at www.shopgamecocks.com. Delivery options are in-store pickup or UPS shipping (Ground, Second Day, or Next Day). Students are required to indicate their course section to order online; there will be a "J" prefix on the course SECTION number for this course. Contact the bookstore for questions about the online ordering system.


Syllabus Information

Enrolled students will be able to view in Blackboard.


Assignment Information

Enrolled students will be able to view in Blackboard.


Information is accurate as of November 21, 2017, 12:44 pm (Subject to change)



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