When working with a sample of the population we’re studying, Sig Testing (short for “Significance Testing”) is used to determine whether or not the differences we see in the smaller sample are likely to be present in the larger population. The difference between two numbers needs to be large enough that when we account for the likelihood of slight variability between the sample and the population (the “margin of error”), the numbers are still distinctly different.