Pre-Health Statistics

This course is designed to equip the student with a working knowledge of descriptive statistical and fundamental inferential methods. Emphasis is balanced among theoretical concepts, calculations and data interpretation. Major topics covered include frequency distributions, graphic presentation of data, measures of central tendency and variation, discrete and continuous probability, standardized scores, the normal distribution, applications of the normal distribution, confidence intervals, hypothesis testing (z-test and t-tests), linear correlation, and simple linear regression. The course culminates in a Capstone Project that allows students to explore and connect all of the concepts covered in the course.