Probability and Statistics

Develops the practices and principles of probability theory, descriptive statistics, and beginning inferential statistics, vast, historically rich, and philosophically perturbing subjects. Identifies the key concepts and principles behind these works and demystifies the approaches that seem counter to intuition. Uses give-and-take conversation, guided by both conceptual and practical exploration, to build up knowledge. As such, classes are interactive. Topics covered include naïve probability theory, models of probability theory, philosophical consequences, sampling, descriptive techniques (plot diagrams and numeric descriptives—mean, median, mode, variance, deviation), correlation and regression, distributions, inferential methods, reliability, techniques, and practices.

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