Statistical Thinking Tools

Bob Luttman, Robert Luttman & Associates

Home Page | Introduction | Statistical Thinking | Control Charts | Individuals Control Charts | Percentage Control Charts | Control Charts for the Average | Choosing the Proper Control Chart | Control Charts - Summary | Histograms | Pareto Analysis | Scatter Diagrams | Conclusion | Assignment | Comments | Questions
                                               

Pareto Analysis

"Separating the Significant Few from the Trivial Many"

 

Pareto analysis is based on the premise that 80% of problems are due to 20% of the possible causes. These 20% are the "vital few" problems a process improvement focuses on. A Pareto analysis is a sorted histogram with two features added. One, is the cumulative distribution curve. Second, the vital few are identified.

Construction:

 

1. Sort data in descending order of importance

 

2. Calculate individual percentages for each category

 

3. Calculate cumulative percentages for each category

+ First data point

Cumulative = Individual

+ Rest of data points

Cumulative = Sum of Individual %'s up to and including current point

 

 

4. All categories with cumulative %'s less than or equal t80% are the "significant few" and worthy of further review

 

Pareto analysis data

 

Pareto Histogram

 

Home Page | Introduction | Statistical Thinking | Control Charts | Individuals Control Charts | Percentage Control Charts | Control Charts for the Average | Choosing the Proper Control Chart | Control Charts - Summary | Histograms | Pareto Analysis | Scatter Diagrams | Conclusion | Assignment | Comments | Questions

rluttman@robertluttman.com
Improving Healthcare Across the Continuum