Statistics uses variables to describe a measurement. Such a variable is called statistically significant if under a certain status quo assumption, the probability of obtaining its outcome (or a more extreme outcome) is less than a given value. Statistical significance is hence a way of determining the "unlikeliness" of an experimental result—when a certain status quo assumption is assumed to be true. Statistical hypothesis tests are used to check significance. 