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Nov 23, 2024
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BIO 203 - Applied Biostatistics Applied experiential learning in the design of basic biological experiments and analysis of biological data. Introduction to theory and application of statistical analyses, such as t-tests, analysis of variance, correlation, and linear regression. Application of statistical tools within a statistical computing platform. Prerequisite: BIO 201/202 or BIO 110/111 Also listed as MAT 201, PSY 201, COM 230, ECO 221. Fulfills: GE 1; LASR. (3 cr. hr.)
Frequency code C = offered at least once every two years
Student Learning Outcomes
Upon successful completion of this course, students will be able to:
- Summarize the theory behind basic statistical analyses, such as chi-square test, t-test, ANOVA and regression.
- Apply tabular and graphical techniques to display and summarize biological data.
- Apply basic statistical analyses, interpret their output, and draw inferences on biological questions.
- Match an appropriate graphical display and statistical approach to a given biological question.
- Assess the limitations of statistical analyses commonly applied in biological research.
- Conduct basic analyses in the statistical software.
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