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HSCI 350 Advanced Statistics for the Health Sciences 4.0 Credits

This course is designed to provide students with an understanding of advanced statistical procedures and their applications to research designs in the health science literature. Topics include: one-way, two-way, repeated measure, and mixed factorial analyses of variance (ANOVAs); analysis of covariance (ANCOVA); multivariate analysis of variance (MANOVA); correlation; bivariate, multivariate, and logistic regressions; odds/risk ratios; exploratory factor analysis; and meta-analytic techniques.

College/Department: College of Nursing Health Professions
Repeat Status: Not repeatable for credit
Prerequisites: STS 345 [Min Grade: D] or HSCI 345 [Min Grade: D]

Custom-Designed Major BS

...and above in the following subjects: HSCI 345 , HSCI 350 , MATH, or STAT + Any 100...

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