Data Analysis and Statistical Inference
Introduction to statistics as a science of understanding and analyzing data. Themes include data collection, exploratory analysis, inference, and modeling. Focus on principles underlying quantitative research in social sciences, humanities, and public policy. Research projects teach the process of scientific discovery and synthesis and critical evaluation of research and statistical arguments. Readings give perspective on why in 1950, S. Wilks said “Statistical thinking will one day be as necessary a qualification for efficient citizenship as the ability to read and write.” See department website for placement information. Not open to students with credit for Statistics 102 or higher.