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This graduate statistics on-line course is designed for students in the PhD nursing program. The course provides a comprehensive understanding of: describing data,logic of sampling and test statistics; hypothesis testing,type 1 and 2 errors; power; one-way ANOVA (analysis of variance); planned comparison,post-hoc tests and trend analysis; factorial ANOVA; repeated measures designs and mixed randomized repeated designs; simple and multiple regression; ANCOVA (analysis of co-variance. Prerequisites: Upper division undergraduate basic statistics course (with grade of ""B"" or better)
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Faculty:
School of Nursing & Health Studies
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Department:
Nursing General
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