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NURS 6123 Applied Statistics I
Credit hours: 3 per Semester
Cluster: Quantitative Research Methods, Quantitative Research Methods and Statistical Analysis,Quantitative Research Methods,Statistical Analysis


Course Level: Doctoral Foundational

Course Type: PhD


Course Open to: PhD Students

Institution:The University of Oklahoma

Pre-requisites: Introductory or basic statistics course. Admission to Nursing PhD or DNP program, or permission of instructor

Course Description: Advanced conceptual understanding and applied statistical techniques to answer questions relevant to nursing. Students review assumptions underlying specific analyses, perform and interpret output from descriptive and inferential statistical analyses using statistical software, determine appropriate statistical approaches to answer research questions, develop sound analysis plan based on type of data collected.


Method of Instruction: asynchronous

Delivery Platform: D2L

Campus visits required: 0

Course Contact: Lise DeShea, PhD



Tuition: NEXus Common Price


Other considerations: PhD and DNP students are eligible


Available Seats by Semester for this course:


FALL 2019

Instructor: TBA
Seats: 4
Credits: 3 / Semester
Start Date: 08-19-19
End Date: 12-13-19

Funding to develop this project was provided in part by the U.S. Department of Education's Fund for the Improvement of Postsecondary Education
and the Alfred P. Sloan Foundation.
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