2024-2025 University Catalog
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BIOL 320 - Biostatistics Explores issues of experimental design, data collection, parameter estimation, and hypothesis testing as they apply to the life sciences. Topics include samples and populations, tests for goodness of fit, hypotheses about samples drawn from normally distributed populations, the binomial and Poisson distributions, analysis of variance, correlation analysis, linear regression, non-parametric tests, and power analysis. Students learn computer software applications for the analysis and graphing of data. Course material is beneficial to students planning to do research.
Credits: 1.00 Corequisite: Prerequisites: or Major/Minor Restrictions: None Class Restriction: None Recommended: The course chould count as one of the two courses in mathematics required by some health science professional schools or graduate schools in the sciences. Area of Inquiry: Natural Sciences & Mathematics Liberal Arts Practices: Quantitative and Algorithmic Reasoning Core Component: None
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