Introduction to Biostatistics

3.0 credits

This course is an introduction to the ideas and techniques of statistical analysis with an emphasis on applications in the health sciences. Practical application, rather than theoretical development of statistical methods, is the focus and very little mathematical background (beyond high school algebra) is assumed. However, we will emphasize important ideas and concepts underlying the methods and not just statistical recipes? (and software). Topics to be covered include: Organizing and presenting data using descriptive statistics, Basic probability, including Bayes' Theorem and its applications in diagnostic testing, Central Limit Theorem, Law of Large Numbers Sampling distributionss Inferential statistics. Also introduced will be: Simple linear regression, One-way analysis of variance (ANOVA), Pearson (product-moment) correlation Contingency tables. Fall Semester Session Dates September 2, 9, 16, 23, 30 October 7, 14, 21, 28 November 4,11, 18, 25 December 2, 9 Final Presentations