Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness: tests of simple and composite hypotheses, linear models, and multiple regression ...

Basic statistical concepts presented with emphasis on their relevance to biological and medical investigations. Evaluation is through problem sets, quizzes embedded within asynchronous videos, use of ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

This course is compulsory on the Master of Public Administration. This course is not available as an outside option. Also available to other MPhil/PhD students with the agreement of the course tutor.

Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on. The core of R was developed during the 1970s and since then, many libraries ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

The typical four-year outline for Michigan Tech's Economics bachelor's degree provides a semester-by-semester guide to core courses, labs, and requirements. An introduction to economics. The ...

This course is compulsory on the Double Master of Public Administration (LSE-Columbia), Double Master of Public Administration (LSE-University of Toronto) and Master of Public Administration. This ...