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Introduction to experimental design, data presentation and statistics in biomedical sciences with a focus on application and interpretation. Fundamentals of probability including discrete and continuous models. Randomization and sample size. Foundations of statistical inference, hypothesis testing, p-value, confidence intervals, regression and correlation. Elementary non-parametric statistical methods. Presentation and communication of statistical data. Use of graphical and statistical software.
Weekly Contact: Lecture: 3 hrs. Tutorial: 1 hr.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.