Lean Wiki
Design of Experiments: An Overview
The Design of Experiments, otherwise known as DOE, is a statistical approach used to identify the factors that impact the
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Statistical Analysis is the practice of using data to understand performance, identify patterns and support evidence-based decision-making. At Leanscape, this tag brings together articles, insights and practical guidance on how statistical analysis is applied to improve processes, reduce variation and deliver measurable performance improvement.
Effective statistical analysis is not about complex mathematics for its own sake. It focuses on using the right data and the right methods to answer meaningful business questions. Explore content covering descriptive and inferential statistics, variation analysis, hypothesis testing and data interpretation. These resources show how statistical analysis helps teams move beyond assumptions and opinions to facts and insight.
This collection also explores how Statistical Analysis supports Lean, Lean Six Sigma and data-driven improvement. Articles examine how tools such as control charts, process capability analysis, ANOVA, regression and basic data visualisation are used within improvement projects and operational environments. You’ll find insights into how statistical analysis helps identify root causes, evaluate solutions and verify that improvements are delivering real results.
For improvement practitioners, statistical analysis provides a structured way to analyse problems, test ideas and validate outcomes. For leaders and managers, it supports better performance conversations by distinguishing between normal variation and genuine issues that require action. The emphasis is on applying statistical thinking proportionately and practically, ensuring analysis informs decisions rather than creating unnecessary complexity.
Whether you are delivering improvement projects, strengthening performance management or building organisational capability, this collection shows how Statistical Analysis enables clearer understanding, better decisions and more effective, sustainable improvement by turning data into insight and action.
The Design of Experiments, otherwise known as DOE, is a statistical approach used to identify the factors that impact the
When analyzing data, it’s important to understand the distribution of the
How to create efficient and accurate experiments with the DOE tool As a Six Sigma professional or project manager,
In today’s business world, the cost of poor quality is more important than ever. With businesses operating in an increasingly
Correlation and Regression Analysis: Correlation and regression analysis are essential tools in statistical analysis. Put simply, correlation measures the relationship
Confidence intervals are a powerful tool for making well-informed business decisions. A confidence
The chi-square test is a statistical method used to compare differences between two or more variables. This test can be
The Central Limit Theorem (CLT) is a statistical theory that states that given a sufficiently
Capability analysis is a statistical methodology used to determine process capability. It involves collecting data
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Lean Six Sigma is a methodology that combines the principles of Lean and Six Sigma to improve performance by systematically
Key Skills for Project Management: What Lean Can Do For You Project management is a tricky feat, especially in
Welcome to our 5-Bullet Friday where we share insights, learnings, tools, and tips on making changes happen. If you are
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