Thursday, October 17, 2019 - 4:00pm to 5:00pm

BH 227

**Aisha Kaba, PACCAR**

**The Central Limit Theorem in Advanced Analytics**

**Abstract**: 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