Resources
Statistical Tools
A small library of browser-based tools for practicing core Lean Six Sigma statistics.
Good process improvement decisions start with understanding the data behind them. The tools below let you explore a few of the core statistical methods used throughout Lean Six Sigma — measurement system analysis, control charts, process capability, hypothesis testing, and correlation — right in your browser, using your own data. Each one is meant to build intuition for how these methods work and what the results actually mean, so the concepts stick long after a class ends.
The Tools
Crossed Gage R&R Analyzer
Enter a study template and paste in repeated measurements to separate measurement variation into repeatability (equipment) and reproducibility (operator) components — a first check on whether a measurement system can be trusted.
Open ToolControl Chart Analyzer
Build X̄–R or I–MR control charts from process data and flag out-of-control points with basic 3-sigma limits or Nelson Rules, to see whether a process is stable over time.
Open ToolProcess Capability Analysis
Compare process data against specification limits to calculate Cp, Cpk, and related capability indices, showing whether a process can consistently meet requirements.
Open ToolHypothesis Testing Tool
Answer a couple of questions about your data (outcome type, number of groups) and this tool walks you to the right test — t-test, proportion test, chi-square, and more — then runs it and interprets the result.
Open ToolScatter Plot Tool
Plot two variables against each other to visualize the relationship between them, a useful first step before running a correlation or regression analysis.
Open Tool