A unit root test in statistics determines if a time series variable is non-stationary and has a unit root. Depending on the test performed, the null hypothesis is the presence of a unit root, while the alternative hypothesis is either stationarity, trend stationarity, or explosive root. The Augmented Dickey-Fuller, Phillips-Perron, and KPSS tests are also popular.