Making Sense of Attribute Gage R&R Calculations: Testing for Variations and Repeatability

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What is Gage R&R? Like it or not, any process will have variances and the potential for defects. Measurement error is unavoidable. There will always be some measurement variation that is due to the measurement system itself. Most problematic measurement system issues come from measuring attribute data in terms that rely on human judgment such […]

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Attribute Data: Quantifying the Qualitative

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You will often see attribute data and discrete data being used interchangeably. At some level, they are similar. But, if we dive a little deeper, youโ€™ll see that thereโ€™s a bit more distinction than meets the eye.

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Optimize Attribute Responses Using Design of Experiments

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The objective of a design of experiments (DOE) is to optimize the value of a response variable by changing the values, referred to as levels, of the factors that affect the response. Although often a response is continuous in nature, there are some cases in which the response falls in the attribute category (e.g., pass/fail, […]

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Attribute Data: Making the Most of What’s Available

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Many times in software development and information technology, attribute data is what is available. Thus, it is valuable to look closely at the nature of attribute data and explore some tips for making the most of it.

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Challenges of Discrete and Attribute Data Measurement

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More than ever, companies today realize the importance of measurementย โ€“ everything from measuring performance to measuring gap closureย โ€“ in order to achieve goals. Measurement is the process of estimating the ratio of the magnitude of a quantity to a unit of the same type. A measurement is the result of such a process, normally expressed […]

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