HS 301 - Fundamentals of Biostatistics

Description
Applied research for the medical and biological sciences. Emphasis on principles of statistical reasoning, underlying assumptions, hypothesis testing, and careful interpretation of data results. Topics include descriptive statistics, graphical displays of data, probability, confidence intervals and tests for means, differences of means, sample size and power, difference of proportions, chi-square tests for categorical variables, regression, multiple regression, and non-parametric statistics. Enrollment Requirements: Prerequisite(s): MATH 100 or suitable placement test score.
Credits
3
Attributes
Quantitative Literacy (GEP)
Recent Professors
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Recent Semesters
Spring 2019, Fall 2018, Spring 2018, Fall 2017
Offered
TuTh, MW
Avg. Class Size
29
Avg. Sections
1