A correction to allow for the probability of many events that are independent, named after Carlo Emilio Bonferroni (1892-1960). In statistical significance testing, it allows, for example, 10 different significance tests to be made on a data set (e.g., 10 different
laboratory parameters) but still have an overall significance for one of the 10 tests at a probability of P=0.05, by carrying out each of the 10 tests by using a more stringent probability level of P=0.005 (thus, 0.05/10).
