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The Index of Tools and Techniques used within Lean and Six Sigma is essential to the core Lean Six Sigma training experience. These articles cover some of the essential toolkits needed to balance Lean and Six Sigma when solving complex business challenges.

Latest Article: What are P-Values and How to Use Them in Six Sigma

As more and more businesses seek to increase productivity and improve efficiency, the lean six sigma toolkit has become an indispensable resource for managers and professionals alike. This comprehensive list of articles covers everything from basic concepts like cost reduction techniques and cycle time reduction to more advanced topics like statistical analysis tools, control charts, and process improvement methodologies. Whether you are a beginner trying to understand the fundamental principles of lean six sigma or an experienced professional looking to apply your existing knowledge in new ways, the lean six sigma toolkit is sure to have something for you. So why wait? Start exploring these fascinating articles today!
what are p-values
Last Update: What are P-Values and How to Use Them in Six Sigma
Lean Articles

toolkit Articles

Lean Articles

toolkit Articles

what are p-values

What are P-Values and How to Use Them in Six Sigma

The P-Value in Statistics is a measure of the probability that a given result occurred by chance. It is used to determine whether or not to reject the null hypothesis in hypothesis testing. The lower the p-value, the more likely it is that the null hypothesis should be rejected. Generally, if a p-value is less than 0.05 (5%), the result can be considered statistically significant and it can be said that there is an effect.

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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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