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90-905 Statistical Theory For Social And Policy Research

  • 12 units
  • Prerequisites: One year of calculus

Designed to provide foundational theory in probability and statistics as background for more advanced methodology courses, such as econometrics, probabilistic operations research, decision analysis and multivariate statistical analysis. Topics covered include: joint, marginal and conditional probability, Bayes rule, probability distributions, Bernoulli and Poisson processes, principles of statistical inference, sampling distributions, maximum likelihood, Bayes methods, and regression. Examples are drawn from problems arising in social and policy research. Use is made of statistical software as a pedagogical tool to better understand the theory.