Statistical thinking

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Statistical thinking is one of the tools for process analysis. Statistical thinking relates processes and statistics, and is based on the following principles:

• All work occurs in a system of interconnected processes.
• Variation exists in all processes
• Understanding and reducing variation are keys to success.

W. Edwards Deming promoted the concepts of statistical thinking, using two powerful experiments:

1. The Red Bead experiment, in which workers are tasked with running a more or less random procedure, yet the lowest "performing" workers are fired. The experiment demonstrates how the natural variability in a process can dwarf the contribution of individual workers' talent.

2. The Funnel experiment, again demonstrating that natural variability in a process can loom larger than it ought to.

The takehome message from the experiments is that before management adjusts a process -- such as by firing seemingly underperforming employees, or by making physical changes to an apparatus -- they should consider all sources of variation in the process that led to the performance outcome.

Statistical thinking is a recognised method used as part of Six Sigma methodologies.

See also[]

• Systems thinking

References[]