The Central Limit Theorem is a fundamental concept in statistics that asserts that the distribution of the sum (or average) of a large number of independent, identically distributed random variables approaches a normal distribution, regardless of the original distribution of the variables. Learn about its use in Six Sigma here.

Reference:

Six Sigma Resource Center

Six Sigma Certifications

Central Limit Theorem in Six Sigma Projects