What kind of a mean value is this?

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I wasn't that sure what kind of mean value the following is, I hope you can help me out:

What it's about:

I have this testseries of about 30 elements, that delay the boot sequence of an embedded System. I checked them separately to say, element #3 adds e.g. 0.4 s to the boot sequence (lets call it tadd).

Now when I want to know, in what time the system boots when all 30 elements take influcence, I can assume this by adding each t.add of every package to a tbase (the time the system boots without any of these elements). Let's say I get a time t.assume = 30 s. Now I'm measuring the system with all the elements enabled and I measure the time with 29.5 s.

so subtracting each other lets me know how good my assumptions were:

t.accuracy = t.assume - t.measured = 30 s - 29.5 s = 0.5 s

Now to the question:

What kind of a mean value is this, if I divide t.accuracy 0.5 s by the number of elements used ?

--> 0.5 s / 30.

Is it the mean failure value of each element, or does it even exist? And if so what's the name of it.

Thanks for your support!

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This would be average error per element. In other words, on average, how big a mistake did I make in assumptions for each element of the sequence.