Introduction to Probability – M1

About the lecture

In this mini-lecture, we begin with Topic M1 by introducing probability and how to do basic computations. In particular, we consider: (i) various definitions of probability; (ii) careers and real-world applications that involve probability; (iii) the definitions of experiment, outcome, sample space (aka universal set), event, null set, frequency; (iv) using a decimal, percentage, or fraction to represent a probability; (v) how to interpret probabilities; (vi) how to compute probabilities using relative frequencies; and (vii) a probability computation involving a coin toss.

About the lecturer

Duncan Lee is a Professor of Statistics in the School of Mathematics & Statistics at the University of Glasgow. His research interests are in developing spatio-temporal statistical methods for use in epidemiology in a predominantly Bayesian setting, focusing on disease mapping, predicting air pollution concentrations, and investigating the effects of air pollution on human health.