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Institution:
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University of Arizona
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Subject:
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Description:
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Description: This course is intended for graduate students in the biological sciences. Topics covered will include parameter estimation, hypothesis testing, regression and ANOVA, graphical exploration of data, Bayesian statistics and resampling methods, and experimental design. Principles of statistical practice will be highlighted and practical experience gained through laboratory homework exercises. The statistical language R will be used for analysis, however other software such as SAS could be used. Grading: Regular grades are awarded for this course: A B C D E. Prerequisite(s): Math 110, Math 113, or equivalents. Math 160, statistics, helpful, but not required. Usually offered: Fall.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(520) 621-2211
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Regional Accreditation:
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North Central Association of Colleges and Schools
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Calendar System:
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Semester
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