Respuesta :
Answer:
a)  x_average = ∑ [tex]x_{i}[/tex] / 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 = ∑ [tex]x_{i}[/tex] / 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
