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BIOL 1531 Introduction to Biostatistics

3 hours lecture, 1 hour laboratory; 3 credits

Foundational concepts of statistics applied to problems in biology, human health, and epidemiology, including the processing of quantitative data, probability distributions, sample estimation, hypothesis testing and power analysis, correlation and regression, analysis of variance, and nonparametric tests. Introduction to and use of the R statistical software and programming language for data analysis. (This course is the same as MATH 1531).

Prerequisite: MATH 1011 or MATH 1012 (Precalculus with or without recitation)


The City University reserves the right, because of changing conditions, to make modifications of any nature in academic programs and requirements of the university and its constituent colleges without advanced notice. Students are advised to consult regularly with college and department counselors concerning their programs of study.

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