From the course: Lean Six Sigma: Analyze, Improve, and Control Tools
Unlock the full course today
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
Graphical and data analysis
From the course: Lean Six Sigma: Analyze, Improve, and Control Tools
Graphical and data analysis
- In Lean Six Sigma projects you may need to test the differences in variation. Let's say you want to compare variation in performance such as variability, processing times of different steps in the process. Or for example, the variation in delivery times across restaurants in the pizza chain. Let's assume that one of the axis of theories selected from the cause effect diagram to be tested is that restaurant location is a factor in impacting pizza delivery times. In other words you are to test the hypothesis that restaurant location is a factor in delivery time performance. The now hypothesis is that there is no significant difference in delivery time variances across restaurant locations. The alternate hypothesis is that there is a significant difference in delivery time variances across restaurant locations. Data was collected. And these are the dot plots of pizza delivery times sampled from four restaurants A,B,C and D. You can see amount and the pattern of variation. It looks like…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Contents
-
-
-
(Locked)
Lean Six Sigma Analyze phase overview3m 45s
-
Value stream analysis4m 6s
-
(Locked)
Cause–effect diagrams4m 31s
-
(Locked)
Multi-voting2m 52s
-
(Locked)
Five whys3m 58s
-
(Locked)
Introduction to hypothesis testing3m 25s
-
(Locked)
Analyze phase data collection planning2m 42s
-
(Locked)
Graphical and data analysis3m 34s
-
(Locked)
Scatter plots, correlation, and regression4m 41s
-
(Locked)
-
-
-