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If you want to learn about Lean Six Sigma tools, you’ve come to the right place. Our business page showcases introduction articles about all the best Lean Six Sigma tools. We’ll help you get started with your training and put those tools into practice quickly and effectively. So what are you waiting for? Start learning today!

Latest Article: What is a Matrix Plot? An Introduction from Leanscape

One of the most popular ways to improve process flow and achieve better outcomes is by using Lean Six Sigma tools. This business-focused approach combines two robust methodologies – Lean and Six Sigma – to help organizations streamline operations, eliminate waste, and improve quality. The result? More efficient processes that deliver tangible results. If you’re new to Lean Six Sigma, our articles will give you a good overview of the tools and techniques used in this methodology. We’ll also show you how to put them into practice so you can start seeing results in your organization. So what are you waiting for? Start learning about Lean Six Sigma today!
What is the Matrix Plot
Last Update: What is a Matrix Plot? An Introduction from Leanscape
Lean Articles

tools Articles

Lean Articles

tools Articles

Johnson Transformation Introduction

What is the Johnson Transformation?

Johnson Transformation Explained

The Johnson Transformation is a mathematical transformation used to create new variables from existing variables. It is named after its inventor, British statistician Norman Lloyd Johnson. The Johnson Transformation can be used to linearise nonlinear relationships and to create normally distributed variables from non-normal ones.

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Hypothesis Testing Overview

Introduction to Hypothesis Testing

Hypothesis testing can help! With hypothesis testing, business professionals are empowered with actionable insights that drive their decision-making process. This article will introduce you to the important concepts of hypothesis testing and offer key tips for leveraging it in making informed decisions for your business. From defining a null and alternative hypothesis to understanding p-values, this informative piece will equip you with the knowledge necessary for the efficient and effective evaluation of data derived from experiments

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