Kentucky State University College of Professional Studies School of Nursing Course: NUR 699 Course Title: Applied Statistics in Nursing (3 credit hours) Syllabus

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OFFICE: Online

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SEMESTER: Fall 2016 CLASS TIME: Online CLASSROOM: Online OFFICE HOURS: E-mail for Appointment

I. MISSION STATEMENTS:

The Objectives and Learning Outcomes of this course directly support the Mission of the University, College, and Division, which may be found at: www.kysu.edu/about; www.kysu.edu/academics/collegesAndSchools/default.htm; www.kysu.edu/academics/collegesAndSchools/collegeofartssocialsciencesandinterdisciplinarystudies/default.htm.

II. NOTICE TO STUDENTS WITH DISABILITIES:

Any student who requires an accommodation due to a documented disability may contact the Disability Resource Center (DRC) at (502) 597-5076, or visit Hill Student Center, Suite 220C, to arrange for reasonable accommodations. The student is required to obtain verification from the DRC and deliver the signed DRC document to the instructor specifying the accommodations. The student is encouraged to complete this process at the beginning of the semester since an approval for accommodations is not retroactive. The accommodations become effective upon receipt of the DRC approval by the faculty member from the student. Additional information concerning the DRC and accommodations can be found at http://www.kysu.edu/about/divisions/studentAffairsAndEnrollment/disabilityRecourceCenter.htm.

III. COURSE DESCRIPTION

This is an introductory course in statistics for graduate nursing students. This course will allow the student to summarize numerical data, gain a working vocabulary of important statistical methods, develop some functional computing skills, and improve confidence in dealing with numbers. In this course students will review basic concepts of statistics and its use in nursing research. This course provides opportunities for skill development in the application of a variety of quantitative analyses strategies to existing datasets. Students will identify hypotheses and/or research questions, test them using appropriate statistical methods, and interpret the results of their secondary analyses. Students also will gain experience in the presentation of findings via narrative, tabular, and oral formats.

IV. COURSE OBJECTIVES: At the end of this course the student will be able to:

1. Develop hypotheses and/or research questions for testing through secondary analysis of existing data.
2. Apply appropriate descriptive and inferential statistical methods in the analysis of existing data.
3. Interpret the findings from different analysis strategies.
4. Present results of statistical analyses in narrative, tabular, oral, and graphical forms.

V. STUDENT LEARNING OUTCOMES:

During the course, students will:

1. Identify levels of measurement and describe their relationship to statistical analysis.
2. Demonstrate skill in displaying data in a format that is clearly understood.
3. Explain the importance of distinguishing samples and populations in hypothesis testing, and describe