How do I account for measurement uncertainties in temperature data analysis?

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To account for measurement uncertainties in temperature data analysis, it's essential to consider the accuracy specifications of the measurement equipment, which in this case is +/- 5% and +/- 3 digits. The user has collected 55 temperature measurements over a distance of 100m, calculating the mean, standard deviation, and standard error for each set of five measurements. The mean values are plotted with error bars in Excel, representing the data effectively. Incorporating the equipment's accuracy into the analysis can enhance the reliability of the results. Addressing measurement uncertainties is crucial for accurate data interpretation in temperature studies.
gnurf
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In an attempt to determine how the temperature varies over a distance of 100m I have taken five temperature measurements for every 10 meters, for a total of 55 measurements. I have then, for each dataset of N=5, calculated the mean value, standard deviation and standard error. Finally, I've plottet the mean value with error bars in Excel in what I believe is the most accurate and informative way to represent this data (mean temperature on the y-axis, and distance on the x-axis).

So far so good I think, but how do I include the accuracy of the, say, 3 1/2 digit measurement equipment if it was specified as accurate to within +/- 5% and +/-3 digits?
 
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Moderator(s): I'm moving this to a less obscure subforum (EE probably) in order to get some more traffic. It was misplaced in the first place I think. Please close or delete this thread.
 
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