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NURS 7201 Statistics I
Credit hours: 3 per Semester
Cluster: Quantitative Research Methods,


Course Level: Doctoral

Course Type: PhD


Course Open to: PhD Students

Institution:University of Utah

Pre-requisites: Instructor Permission

Course Description: OVERVIEW OF CONTENT: The first of two courses that provide sound theoretical and practical understanding of the logic and application of selected statistical analyses. We will cover summary of statistics and ways to present data, probability, and Bayesian statistics, measures of association, hypothesis testing and an introduction to (multivariable) model building. OBJECTIVES: By the end of the semester, students should be able to – 1. Understand descriptive and inferential statistics and their underlying probability theories. 2. Integrate study design, statistical approaches, and data collection methods appropriate to proposed research questions. 3. Evaluate characteristics of data including shapes of distribution, variance, means, and how they impact statistical test selection.


Method of Instruction: synchronous

Delivery Platform: Internet Video Conferencing

Campus visits required: none

Course Contact: Heather Clarkson



Tuition: current NEXus tuition rate


Other considerations: PhD Students Welcome


Available Seats by Semester for this course:



Section: 002
Instructor: Xiaoming Shen, PhD
Seats: 2
Credits: 3 / Semester
Start Date: 01-19-19
End Date: 05-03-19


Section: 02
Instructor: TBA
Seats: 2
Credits: 3 / Semester
Start Date: 01-20-20
End Date: 05-02-20


Section: 091
Instructor: Xiaoming Shen, PhD
Seats: 2
Credits: 3 / Semester
Start Date: 01-21-21
End Date: 05-05-21

This course meets using Internet Video Conferencing (or Zoom, depending on instructor preference). Please make sure you are available to attend class: Mondays, 2:30PM-5:30PM in the mountain time zone.

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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