College of Science & Engineering

Colloquium: Aisha Kaba

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