251. Methods of Data Analysis

Second course in statistics for scientific, business and policy decision problems. Case studies are used to examine methods for fitting and assessing models. Emphasis is on problem-solving, interpretation, quantifying uncertainty, mathematical principles and written statistical reports. Topics: ordinary, logistic, Poisson regression, remedial methods, experimental design and resampling methods.