Module 4
Analyze
Generate, validate and confirm root causes using process-door, data-door and statistical tools.
22 lessons · 0 completed
← Back to academy- 1Analyze-phase strategy and evidence hierarchyAvailable
- 2Process-door and data-door analysisAvailable
- 3Cause-and-effect diagramAvailable
- 4Five Whys and cause validationAvailable
- 5Cause-and-effect matrixAvailable
- 6Failure Mode and Effects AnalysisAvailable
- 7Histograms, box plots, scatter plots, and stratificationAvailable
- 8Distribution shape and normality assessmentAvailable
- 9Confidence intervals and practical significanceAvailable
- 10Hypothesis-testing workflow and common errorsAvailable
- 11One-sample and two-sample mean testsAvailable
- 12Paired-data testsAvailable
- 13Variance and standard-deviation comparisonsAvailable
- 14One- and two-proportion testsAvailable
- 15One-way and two-way ANOVAAvailable
- 16Non-parametric comparison with Kruskal-WallisAvailable
- 17Chi-square association testingAvailable
- 18Simple linear regressionAvailable
- 19Multiple regression and model checksAvailable
- 20Binary response modelling conceptsAvailable
- 21Root-cause confirmation and prioritizationAvailable
- 22Analyze tollgate and garment defect exerciseAvailable