Introduction to Biostatistics

A variety of statistical techniques are presented.These techniques include survey of data and data types, graphical techniques for data display, central tendency and variability in data, probability distributions, parametric estimation and hypothesis testing and its applications to group comparisons, simple linear regression and correlation, multiple regression, categorical data analysis, and ANOVA. Statistical concepts are presented and enhanced through the use of numerous real-life data sets and case studies. In addition, students will have myriad opportunities to practice through in-class discussions, homework exercises and course projects.Prerequisite(s): MATH 1401 with a minimum grade of C.