In this video, Dr. Richard Chus demonstrates how to develop and interpret graphs and charts that display variation - dotplots, histograms, boxplots, and pareto charts
- Let's say you have two suppliers, A and B.…They're supposed to deliver a product within 24 hours.…They both report the same average delivery time of 23 hours.…Are they performing well?…And why are some customers still complaining…about late deliveries?…To answer these questions,…we have to go beyond just the average delivery times.…We have to plot the data to see the variability…or variation in delivery times.…
We need graphs that display variation.…For continuous data, graphs and charts commonly used are…dotplots, histograms, and boxplots.…These graphs display how spread out the data points are…in addition to where they're centered.…Here we have a dotplot for delivery times…of suppliers A and B.…Each dot represents a data point.…And the horizontal axis is the time scale in hours.…
While both have the same mean of 23 hours,…there is a lot more variation in A,…with many deliveries exceeding 24 hours.…I would prefer B to be my supplier.…So, if you want to improve on time deliveries,…we should focus on supplier A.…
Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.
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- Six Sigma and the organization
- Collecting the voice of the customer
- Project management basics
- Process maps
- Sampling in data collection
- Measurement system analysis
- Measuring performance using descriptive statistics
- Process performance measures
- Hypothesis testing
- Testing for means, variances, proportions, and independence
- Correlation and regression
- Using selection matrices
- Using failure modes and effects analysis
- Developing control plans
- Statistical process control