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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: An Introduction to the Central Limit Theorem

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!
Central Limit Therem
Last Update: An Introduction to the Central Limit Theorem
Lean Articles

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What is Lean Management

What is Lean?

What is Lean Management?   In 1990, James Womack and Daniel Jones wrote their book “The Machine That Changed the

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Lean Articles

tools Articles

Central Limit Therem

An Introduction to the Central Limit Theorem

The Central Limit Theorem (CLT) is a statistical theory that states that given a sufficiently large sample size from a population with a finite level of variance, the mean of all samples from the same population will be approximately equal to the mean of the population. Furthermore, if you plot the distribution of these sample means, it will form a normal distribution (bell curve), regardless of the shape of the original population distribution. The CLT is fundamental in statistics because it allows for considerable simplification and provides a method for making inferences about population parameters based on sample data.

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CPK Calculation: Capability Analysis – Cp and CpK Explained | Six Sigma

Capability analysis is a statistical methodology used to determine process capability. It involves collecting data on process characteristics and calculating statistical values to evaluate the process’s ability to meet customer requirements. By identifying areas for improvement and optimising product quality, capability analysis has become an essential tool for manufacturers seeking to remain competitive.

Capability analysis is the study of a process to determine whether it is capable of meeting specified requirements. The two most common measures used in capability analysis are known as Cp and CpK. The capability index Cpk is a statistical measure that evaluates a manufacturer’s ability to produce products within a specified tolerance range. This introduction article will take a closer look at each of these measures, explain how they are used and how you what is a good cpk value.

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box cox transformation

The Box-Cox Transformation: What It Is and How to Use It

The Box Cox Transformation is a popular method of transforming non-normal dependent variables into a normal shape. This technique helps to stabilize variance and can improve the accuracy of any subsequent statistical tests or models. The transformation is named after statisticians George Box and David Cox who developed the technique in the 1960s. It involves taking the natural logarithm of a variable and then raising it to some power (lambda) which is determined by maximum likelihood estimation. The lambda value will depend on how skewed the data is, meaning that a different lambda will be used for different data sets. This transformation can be used in regression, ANOVA, and many other applications where there is a need to transform non-normal data into normal form.

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Anderson Darling Normality Test

An Introduction to the Anderson Darling Normality Test

The Anderson-Darling test is a statistical method used to evaluate whether a given sample of data follows a specific distribution. This comprehensive introduction delves into the origins of the test, developed by Theodore Anderson and Donald Darling in the early 1950s, and its fundamental importance in statistical analysis.

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What is Lean Management

What is Lean?

What is Lean Management?   In 1990, James Womack and Daniel Jones wrote their book “The Machine That Changed the

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