Dummy variables in statistics represent binary (on/off) conditions and are used to measure the impact of categorical factors on a dependent variable. For instance, they can test if stock returns in January differ from other months. When using multiple dummy variables, one less than the total number of categories is needed to avoid multicollinearity.