About this episode
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:
Get every episode summarized
Each time The Process Improvement Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Process Improvement Podcast
Why Facebook Users Are Recommending MSI for Six Sigma Certification
The Process Improvement Podcast
Six Sigma Black Belt Pre-Training
The Process Improvement Podcast
Six Sigma Yellow Belt Pre-Training Course for Certification
The Process Improvement Podcast
Change Management Specialist Certification
The Process Improvement Podcast