The Central Limit Theorem states that the distribution of sample means approximates a normal distribution as sample size increases assuming an identical distribution of random variables.  Data from real world processes more often than not, includes a multitude of independent random variables.  We’ll explore how the Central Limit Theorem is applied at PACCAR Technical Center Advanced Analytics