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The formula for coefficient of variation is %CV = standard deviation/mean X 100 (CV's are reported in percentage form).

So say you're testing for fibrinogen in blood, and you run your standards or your controls three times. The INTRAassay CV is the CV for the three sets of standards in that one assay. You would calcuate the mean and standard deviation for Standard 1, Standard 2, etc. and come up with the CV for each and then average the CVs of each standard to come up with the intraassay CV. This shows the amount of variation among the standards for that one test.

Now say you run a set of blood samples on Monday and then run another set on Tuesday with a second set of plates or wells. The INTERassay CV is the amount of variation between the standards you used on Monday and the standards you used on Tuesday. You would calculate the mean and standard deviation for Standard 1 (Day 1 and Day 2), Standard 2 (Day 1 and Day 2), etc. to come up with the CV for each and then average the CVs like before. This gives you the interassay CV.

A lot of ELISAs will actually calculate the CV of each standard for you.

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Q: What is interassay coefficient of variation?
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Related questions

What is coefficient variation?

it is da same as coefficient of determination


Is it possible for a coefficient of variation to be negative?

Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.


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Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.


What does it mean if the mean is doubled but the standard deviation is the same?

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What is the meaning of CVS?

coefficient of variation


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True


Can you have a negative coefficient in a direct variation?

Yes, you can have a negative coefficient in a direct variation. So if you had y = -7x, that would be a direct variation. If you have y = -x, I do not know, if that is what you mean. Hope it helped.


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One other name is "coefficient of variation".


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The coefficient of variation is a method of measuring how spread out the values ​​in a data set are relative to the mean. It is calculated as follows: Coefficient of variation = Οƒ / ΞΌ Where: Οƒ = standard deviation of the data set ΞΌ = average of the data set If you want to know more about it, you can visit SilverLake Consulting which will help you calculate the coefficient of variation in spss.


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I have found the coefficient of variation of the first natural numbers and also other functions.


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