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in many (all?) cases, the individual data point itself can be
considered to have been drawn from a random distribution. For
example, suppose I measure a voltage as 8.00 V using a specific
voltmeter. The manufacturer tells me that the accuracy of the meter
is 1 digit ± 0.5%. In effect, the manufacturer is telling me that if
I measured the SAME voltage with a set of their instruments, then the
readings of those meters would not all be the same and they should
range within 0.05 V of the "correct voltage". That single point is a
single instance of a value drawn from a random distribution. As
such, the error bars are telling us about the distribution of values
for that specific point, whereas the parameters of the curve itself
relate to a different random distribution.