This video starts by considering the common types and definitions of stationary processes used in time-series analysis. This topic then considers meanings and relationships of order-N, strict-sense stationarity, and wide-sense stationarity. The second half of the video focusses on an example of showing that the sum of a co-sinusoid and sinusoid with independent random amplitudes but fixed phase and frequency is a stationary process (and although not mentioned, will of course be a predictable processes). Other examples are included in the handout associated with this video.