How to compare two measurements with uncertainties in terms of sigma?

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CCofADoa
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Homework Statement
For example, we measured some quantity in our lab 1.0 +/- 0.1 GeV, but another lab measured 0.98 +/- 0.01 GeV. How can we say something like, "Our measurement is within 2 sigma of the other measurement or reference value"? Does that kind statement event make sense?
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There was something called t-value, which is defined by:

t = (measured value - accepted value) / standard error of measured value
Perhaps that statement is just saying how big the t-value is.

Like, in this case:

t = (1.0 - 0.98) / 0.1 = 0.1

So we can say that our measured value is within 1 sigma from the other measured value.
In this case, do we just ignore the uncertainties of the other measured/reference value?

It's possible this is a language problem, and you just don't say this in English. Because I was not able to find anything from googling about it.
 
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It's a bit more complicated when the measurements have different standard errors. Suppose independent measurements x and y are Normally distributed, with means μx and μy, and variances σx2 and σy2. (We use variance rather than standard deviation because variances are additive). The difference x-y is Normal with mean μx - μy, and variance σx2 + σy2. The t-value is then
t = (x - y)/√(σx2 + σy2)
 
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Thanks a lot.

So, do people even say, "Our result is within 1 sigma from the accepted value" when they are talking about the t-value? Perhaps it's just the people in my country.

Personally I always find it difficult to find the references for this stuff, beyond basic error propagation. For example, how error propagation works in a curve fitting, or in a matrix inversion, etc.