This study session introduces the common probability distributions used to describe the behavior of random variables, such as asset prices and returns. How to estimate measures of a population (mean, standard deviation) based on a population sample is shown. A framework for hypothesis testing, used for validating dataset hypotheses, follows, along with techniques to accept or reject the assumed hypothesis. The session ends with coverage of technical analysis, a set of tools that uses asset price, trading volume, and other similar data for making investment decisions.