This course is designed to provide an overview of the field of statistics. Basic fallacies in common statistical analyses and reasoning are discussed. Alternative approaches to statistical inference are also discussed. The course emphasis is on presenting basic underlying concepts rather than on covering a wide variety of different methodologies. The course format is lecture, with a weekly one-hour laboratory.
Evaluation is based on three evening midterms and a final examination.
215 or equivalent. No credit granted to those who have completed 412. Analysis of engineering data associated with stochastic industrial processes. Students are required to use the computer for problem solving. Introduction to Statistics and Data Analysis.