BIO 401 - Biostatistics Description This course in Applied Basic Biostatistics offers a practical application of fundamental statistical concepts and methods using computer software in solving biological and health-related problems. A variety of topics, including understanding of variable types and measurement levels, descriptive statistics (graphical and numerical summaries), principles of probability/probability distribution and statistical inferences involving bivariate analyses (such as independent sample t-test, paired sample t-test, one-way ANOVA, correlations/ simple linear regression and chi-square test/binary logistic regression) will be covered. Using a hands-on problem-based learning (PBL) approach, the course equips learners with the tools for understanding and analyzing data and interpreting results using statistical software such as SPSS, without requiring prior computing experience.
Course Delivery Model(s): Online
Lecture Hours: 45 Lab Hours: 0 Total Hours: 135 Credits: 3
Prerequisites: None Corequisites: None
Repeatable (# of times): 5
Grade Type: Letter
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