# Articles on Six Sigma - Measure Phase

There is a tremendous amount of statistics involved in a six sigma project. Nowadays the statistics part is being taken care of by the Softwares and Humans are involved in understanding the logical part of the process.

A large amount of work needs to be done in the Measure module of Six Sigma. Lets discuss the most common deliverables at the end of a measure module of a six sigma project.

Processes generally have an enormous amount of detail. When process mapping is done with the details from other processes and sub processes, it is called a detailed process map.

The article discusses in detail the different tools that are commonly used in six sigma projects to identify the vital few inputs from a detailed process map.

In order to make sense out of the data, data primarily needs to be understood for its two characteristics - Central Tendency and Dispersion. Lets understand these charactersitics in detail.

Data can be described as the backbone of any six sigma project. The article discusses the different types of data that are used for statistical analysis.

The shape of the data determines the type of tools that can be used to draw conclusions from it. Lets understand the different shapes of data along with the characterstics of these shapes.

A data collection plan is a detailed document which explains the steps as well as the sequence that needs to be followed in gathering the data for the given Six Sigma Project.

The method used to collect the data samples has a great impact on the conclusions drawn from it. Lets discuss the important techniques which can be used for sampling populations as well as processes.

In case of any Six Sigma project it is very important to quantify the error, so that the management can take corrective action accordingly. Measurement Systems analysis is an integral part of the Six Sigma project.

There are many instances where measurement variation can go upto 30% or more off the mark in the organizations measurement system. The article discusses the various of such widespread variations.

The words accuracy and precision are often used almost interchangeably in colloquial usage. However, when it comes to measurement system analysis their meaning, interpretation and usage is widely different. Lets discuss the difference between accuracy and precision.

Linearity and resolution are one of the most important factors that determines the soundness of a measurement system. Lets discuss in detail about linearity and resolution.