An introductory course in statistical concepts and methods, emphasizing exploratory data analysis for univariate and bivariate data, sampling and experimental designs, basic probability models, estimation and tests of hypothesis in one-sample and comparative two-sample studies. A statistical computing package is used but no prior computing experience is assumed. (Note:STA220H1 does not count as a distribution requirement course) Section L0201 (Enrironmental Sciences) and L0301 (Health and Life Sciences) have a focus on applications in a specific area, but any section will satisfy a STA220H1 program requirement. The prerequisites are the same for all sections. This course will also be Available Online For the section available online: The online section of the course will use web-based delivery of lectures and online assessments, and will require participation in online discussions and problem solving using a range of communication tools. The final eam will require student attendance on the St. George campus.
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