Part2: Measurement System Analysis, Bias | MSA

Part2: Measurement System Analysis, Bias | MSA | Statistical Methods

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Күн бұрын

In this video series, I will be talking about measurement system analysis. This video series includes 4 parts, the first part was about the stability of the measurement system, the second part about bias, and the third part is about linearity in measurement systems, the last part is Gauge R & R.
Measurement systems are extremely important in continuous process improvement. We need to measure something to know where we are. We use measurements to tell us if there is a problem in the process or if a process change that we implemented has improved the process.
Bias is the difference between the true value (reference value) and the observed average of the measurements on the same characteristic on the same part. In this video, we learn how to determine the bias in the measurement system.

Пікірлер: 9

@carvalhoribeiro 4 ай бұрын

Thanks for sharing this

@jnnliuliu Жыл бұрын

how do you get alpha = 0.05?

@hungduong6160 Жыл бұрын

What's STD calulated?can you explain more about it?

@sarahjanemigallen8388 2 жыл бұрын

👍

@muralidharamb5238 2 жыл бұрын

Please check your UCL LCL formula

@brandomvillanueva5800 Жыл бұрын

According to the MSA manual the "0" needs to be between the confidence interval, and the video says that the reference value is the one that needs to be between the confidence interval... also the formula for the confidence limits is different from the one in the manual... in the manual you have to add/substract the bias with the product of [Standard error of the mean * T value]

@muralidharamb5238 Жыл бұрын

Thanks for clarifying

@keidmaster Жыл бұрын

@@brandomvillanueva5800 It sounds like the CI for bias. If 0 falls within the bias CI, then it is fair to say for that measurement system is unbiased. But I think if the CI for the true value includes the true value, then the system is also unbiased.