This course covers topics in descriptive statistics, probability, inference, and experimental design, all of which are put together to draw conclusions from uncertainty through analysis of experimental data. Although a general statistical methods course, the material (through examples) is geared towards sciences majors, especially those in the health sciences. This course looks into the underlying reasoning behind the techniques rather than just pure application. Students enrolled in this class have the additional resource of using the statistics lab for specific questions which is located in 806 Kimball Tower.
This course is designed for students concerned with medical data. The material covered includes the design of clinical trials and epidemiological studies, data collection, summarizing and presenting data, probability, standard error, confidence intervals and significance tests, techniques of data analysis including multifactorial methods and the choice of statistical methods, problems of medical measurement and diagnosis, vital statistics and calculation of sample size. The design and analysis of medical research studies will be illustrated. MINITAB is used to perform some data analysis. Descriptive statistics, probability distributions, estimation, tests of hypothesis, categorical data, regression model, analysis of variance, nonparametric methods, and others will be discussed as time permits.