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Institution:
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Milwaukee School of Engineering
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Subject:
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Description:
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This course provides an introduction to biostatistics and design of experiments for biomedical engineering students. As a result of this course, the students are expected to understand and prepare statistical analyses to data fromphysiological systems in the laboratory and clinical environment. Students learn basic probability theory that includes discrete and continuous probability distributions. They learn how to apply that theory to hypothesis testing and understand the difference between a z-test and t-test, and one- and two-sample inference hypothesis testing. Additionally, concepts associated withmeasurement validity and reliability, hypothesis formulation and testing, and the experimental and statistical control of error. Particular emphasis is given to the appropriate selection and use of parametric statistical tests including t-tests, analysis of variance, repeated-measures designs, and simple andmultiple regression. Statistical software tools are used throughout the course. (prereq:MA-137)
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Credits:
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4.00
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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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(800) 332-6763
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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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Quarter
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