Would it be easier to pull the tablecloth out from under a glass of water or an
1 answer:
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Answer:
a) x_average = ∑ / n
, b) Δx_{i} = x_{i} –x_average,
d) σ = √(1/n-1 ∑ Dx_{i}² )
Explanation:
Some definitions are requested
a) the average value is the sum of all the values divided by the number of them, if the uncertainties are random, this is the closest value to the real one
x_average = ∑ / n
b) The deviation from the mean value or absolute error is the measured value minus the average value
Δx_{i} = x_{i} –x_average
c) is the average value of the deviations
Δx_average = ∑ Δx_{i} / n
d) It is a measure of the dispersion of the values with respect to their average value, it takes the worst of all cases, widely used for large numbers of data
σ = √(1/n-1 ∑ Dx_{i}² )
Experimental results should be given as follows
Average value ± uncertainty and the standard deviation
(x_average + - Δx_average)
σ