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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: Control Charts Six Sigma: Statistical Process Control Charts

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!
6 Sigma Control Charts
Last Update: Control Charts Six Sigma: Statistical Process Control Charts
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Lean Articles

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6 Sigma Control Charts

Control Charts Six Sigma: Statistical Process Control Charts

Statistical Process Control (SPC) is a powerful tool for monitoring and controlling production processes. It involves the use of statistical techniques, such as control charts and process capability indices, to monitor process performance. SPC also helps to identify potential sources of variation in the process, allowing managers to take corrective action before quality problems arise. In addition to monitoring the process, SPC can be used to optimize production, reduce costs, and ensure that the product meets customer requirements. By improving the performance of the process, SPC can help organizations increase their overall competitiveness. Control charts in Six Sigma are essential for monitoring and controlling process variation, stabilizing the process before initiating a project.

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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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What is Sigma in Six Sigma

What is Sigma in Six Sigma, and What Does It Mean for You?

In Six Sigma, ‘Sigma’ (represented by the Greek letter ‘σ’) is a statistical term that measures process deviation from perfection or the standard. The ‘Six’ in Six Sigma refers to the statistical concept of having less than 3.4 defects per million opportunities (DPMO), which equates to a process being 99.9997% defect-free.

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