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Statistics in the Biosciences (BISC 198)

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Hughes This course combines statistical theory and practical application, the latter using examples from ecology and experimental biology to illu-strate some of the more common techniques of experimental design and data analysis. Students will learn how to plan an experiment and consider the observations, measurements, and potential statistical tests before data are collected and analyzed. Other topics include graphical representation of data, probability distributions and their applications, one- and two-way ANOVA and t-tests, regression and cor-relation, goodness-of-fit tests, and nonparametric alternatives. Students will design and analyze their own experiment in the interactive laboratory component of class. Students also learn to use statistical computer software. Prerequisite: Fulfillment of the basic skills component of the Quantitative Reasoning requirement and one course in biology, chemistry, or environmental science. Fulfills the Quantitative Reasoning overlay course requirement. Distribution: Natural and Physical Science Semester: Spring Unit: 1.0

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