Probability and Statistics

Catalog description

This course covers the structure of probability theory and provides many examples of the use of probabilistic reasoning. We discuss the most commonly encountered probability distributions, both discrete and continuous. The course considers random sampling from a population and the distributions of some sample statistics. We encounter the problem of estimation: the process of using data to learn about the value of unknown parameters of a model. Finally, we discuss hypothesis testing: the use of data to confirm or reject hypotheses formed about the results.