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NUĀ 505 Biostatistics for Health Care: 3 semester hours

This graduate level course will explore and apply the use of statistical methodology in designing, analyzing, interpreting, and presenting biological experiments, observations, and data. The course will cover descriptive statistics, elements of experimental design, probability, hypothesis testing and statistical inference, analysis of variance, correlation, regression techniques, factor analysis, and non-parametric statistical methods. Students will use data from laboratory and field studies. Prerequisite: Undergraduate course in statistics with final grade of C or higher.

Doctor of Nursing Practice

Nurses will acquire advanced knowledge and skills in nursing practice and processes in order to practice as a nurse practitioner. Students will reflect and act on the impact advanced practice nursing has on the health care delivery system and the lives of clients and communities. Graduates will be prepared to take the family nurse practitioner certification exam and then provide primary care and expertise in the holistic care of all populations.