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Introduction to Human Health Research
BIMS 5304
School of Natural Sciences and Mathematics
Basic statistical principles of research; research designs; data collection methods; random variables, probability distributions, independence, correlation, point estimation; sampling distributions; confidence intervals and hypothesis testing; comparison of populations; simple and multiple linear regression. Applications to human health. Use of a statistical software package. May not be used to satisfy degree requirements for graduate programs in statistics; data science; and bioinformatics and computational biology. 3 credit hours.
Prerequisites: One semester of Calculus and one semester of statistics.
Offering Frequency: Each year
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Introduction to Human Health Research
BIMS 5304
School of Natural Sciences and Mathematics
Basic statistical principles of research; research designs; data collection methods; random variables, probability distributions, independence, correlation, point estimation; sampling distributions; confidence intervals and hypothesis testing; comparison of populations; simple and multiple linear regression. Applications to human health. Use of a statistical software package. May not be used to satisfy degree requirements for graduate programs in statistics; data science; and bioinformatics and computational biology. 3 credit hours.
Prerequisites: One semester of Calculus and one semester of statistics.
Offering Frequency: Each year
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