Introduction to uncertainty and variability, with applications. Summarization methods for data. Concepts of probability, conditional probability, Bayes' Theorem. Random variables and probability distributions, both discrete and continuous, with applications. Populations, variability, and sampling issues. Introduction to statistical inference, including interval estimation and hypothesis testing. Statistical modelling.