Analyze Phase

Statistical analysis, hypothesis testing, and root cause identification.

The Analyze phase uses statistical methods to identify root causes of variation and defects. It covers patterns of variation, inferential statistics, sampling techniques, Central Limit Theorem, and comprehensive hypothesis testing including t-tests, ANOVA, chi-squared tests, and non-parametric tests like Mann-Whitney and Kruskal-Wallis.
5 minutes 5 Questions

The Analyze Phase is the third stage in the DMAIC (Define, Measure, Analyze, Improve, Control) methodology of Lean Six Sigma. This critical phase focuses on examining data and processes to identify the root causes of defects, variations, and inefficiencies that were measured in the previous phase. …

Concepts covered: P-Value Interpretation, One Sample t-Test, Mood's Median Test, Multi-Vari Analysis, Classes of Distributions, Positional Variation, Cyclical Variation, Temporal Variation, Understanding Inference, Sampling Techniques and Uses, Random Sampling, Stratified Sampling, Central Limit Theorem, Standard Error, Sample Size Calculation, General Concepts of Hypothesis Testing, Goals of Hypothesis Testing, Statistical Significance, Practical vs Statistical Significance, Type I Error (Alpha Risk), Type II Error (Beta Risk), Power of a Test, Null and Alternative Hypotheses, Two Sample t-Test, Paired t-Test, One Sample Variance Test, One-Way ANOVA, Tests of Equal Variance, Mann-Whitney Test, Kruskal-Wallis Test, Friedman Test, One Sample Sign Test, One Sample Wilcoxon Test, One Sample Proportion Test, Two Sample Proportion Test, Chi-Squared Test (Contingency Tables)

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