Hello everybody,

Is there, by any chance, a statistical method that might help me determine whether two thermometers' data average differ significantly from one another? Since our laboratory does not have the right equipment at the moment to compare our data with we thought that maybe performing such an analysis would be of use, however, I'm lost.

I tried performing an ANOVA analysis, but that doesn't seem to solve my question since it'll only tell if the variances of each thermometer's registered data differ significantly, but what we're trying to verify is whether their averages are significantly differing, not their variances.

I've tried to solve this problem on my own, but don't seem to find a solution to it. Could anybody suggest any statistical analysis that might help here?

We usually register 5 to 10 data for each thermometer and we analyze at least 3 thermometers each time.

This is one of our data sets for contact thermometers A, B, C, and D (In °C)

A 36.6 36.8 36.7 36.6 36.7 36.7 36.7 36.7 36.9 36.7

B 37.2 37.1 37.0 37.0 37.0 37.0 37.0 37.0 37.0 36.9

C 37.2 37.2 37.2 37.2 37.2 37.3 37.3 37.3 37.2 37.3

D 37.3 37.2 37.2 37.2 37.3 37.2 37.3 37.3 37.3 37.3

We actually have a standard thermometer and for the thermometers, it works well with, we accept a maximum of +-1°C difference. However, we can't use any of them for a while.

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