This is an online statistics course for ACE students. It provides an introduction to the application of non-theoretical statistical methodology in which concepts are explained intuitively and supported by examples. The first part of the course deals with the efficient collection, organization, and description of data, commonly referred to as descriptive statistics. The second part provides a brief introduction to probability concepts, discrete and continuous probability distributions will be discussed. The third part of the course, statistical interference, is the process of drawing conclusions about unknown characteristics of a population. Interval estimation and hypothesis testing for one and two populations will be presented. The last part of the course is predictive statistics; correlation and regression analysis will be used to develop predictions of future values based on historical data. 3 credits