Statistics and analysis are an inseparable part of the Lean Six Sigma process. Professional workers must know how to analyze business processes to identify defects and brainstorm solutions. You’re about to gain valuable knowledge in this area.
This course discusses the two types of data you’ll find in any project. It explains the Shape, Center, and Spread measures for data analysis and briefly discusses the properties of a Normal distribution. It then dives into the different types of graphs and how to use them to show any sample data’s Shape, Center, and Spread. Finally, this module covers how to use graphs to compare groups within sampled data.
What you’ll learn
The two general types of data
The concepts of Shape, Center, and Spread of distribution
Properties of a Normal distribution
Graphical and analytical tools for data exploration
Summary Methods (Histogram and Normal Probability Plot)
Time Series Methods (Individual Chart and Time Series Plot)
Relational graphical techniques (Dot Plot – Individual Value Plot – Box Plot with Groups, Pareto Chart, and Scatterplot)
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