Continuous data can assume a range of numerical responses

it comes to interpreting it into information that can then be used to improve a business process as a whole. Data classification is a necessary part of ensuring the correct statistical tools are used when analyzing the baseline and final performance. If the wrong baseline or score charts are used, the information that is collected will be incorrect. This will lead to the drawing of conclusions that are incorrect. An important Six Sigma goal is to select the correct statistical measurement type and collect numbers that will provide the most information at the least expense.

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Continuous data can assume a range of numerical responses on a scale that is, well, continuous. Because it can be used to measure a wide range of different values, the slightest defect can be detected and measured. This is why it is important to measure the right type of data and to know what type is needed. Understanding the types of data that fall into the continuous category is also paramount. Weight, width, length, height and temperature can all be measured in order to provide types of continuous data. Just imagine what would happen if one of these factors was incorrect. If the length or height is measured incorrectly, the end result won't be right which could then result in more problems down the road. Likewise, failing to recognize this as continuous could cause a whole host of other problems to occur.

 
Par zhenweiguk le jeudi 12 mai 2011

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