In this lecture we will discuss Discrete distributions. Discrete distribution means that X can assume a (limited) number of values. Discrete data can’t be broken down into a smaller units. ( 1 whole person) We will discuss the following: Access the powerpoint presentation:
Lecture 19. Measure Phase-Discrete Statistical Distributions Read More »
This serves as a refresher for topics covered within the measure phase: Process Flow Understand how to analyze your process and develop process flow maps Basic probability concepts Understand probability concepts: independent events, mutually exclusive events, permutations, and combinations Understand binomial, Poisson Understand Central limit theorem Understand confidence intervals=the values we use as boundaries control
Refresher and Practice Questions: Measure Phase Read More »
In this lecture, we will understand the process to calculate the following key metrics for use in our six sigma project: Access the powerpoint presentation:
Lecture 18: Measure Phase-Key Performance Metrics Read More »
In this lecture, we will learn how to calculate areas under the curve by using the Z formula, Z table and Z score. Access the presentation:
Lecture 17: Measure Phase-The Z Transformation Read More »
In this lecture, we will discuss the normal distribution of data to include the area under the curve. Access the powerpoint presentation:
Lecture 16. Measure Phase-Normal Distribution Read More »