Graduate Statistics Course
Whether you want to enter one of our doctoral programs or attend another College, often a recent graduate level statistics class is required. Students who are accepted into one of the nursing doctoral programs but do not meet the statistics requirement are automatically considered for placement in the graduate-level statistics course. Students who are NOT applying to a Mercer doctoral nursing program (ie non-degree student) may be considered for acceptance into the summer totally online graduate statistics course by submitting the Application for Non Degree Admission. It is important to note that this course fills quickly! Interested students should submit requests by April 1, preferably; admission may be determined in part on space availability.
Georgia Baptist College of Nursing requires that all doctoral student applicants show evidence of a graduate level statistics course prior to enrollment. This course must be reflected on an official transcript and it must be within five years from the date of application. Conditional acceptance may be considered if the applicant is enrolled in a graduate level statistics course prior to enrollment in doctoral coursework. The College offers this course during summer session. A description of the course is offered below.
Course Title: NUR 675 Statistics for the Behavioral and Clinical Sciences
Course Credit: 3 hours
Course Placement: Summer Semester
Prerequisites: Admission to the graduate program or permission of the Associate Dean for Graduate Programs
Application: Apply here
NUR 675. Statistics for the Clinical and Behavioral Sciences
This core course provides learners with a basic understanding of statistical methods commonly used in clinical research and nursing education. Key statistical concepts are reviewed including sampling, level of measurement, probability, sensitivity/specificity, and Type I and Type II errors. Inferential statistical tests including chi-square, independent and dependent samples t-tests, simple linear regression, and analysis of variance are studied, and the application of these tests in research reports is analyzed and critiqued. (On-line)