Observe: construct a histogram
Assessment of measurement uncertainties using the "numerical simulation" method
Practical sheet REF: FIC1437 V1
Observe: construct a histogram
Assessment of measurement uncertainties using the "numerical simulation" method

Author : Jean-Michel POU

Publication date: September 10, 2021 | Lire en français

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4. Observe: construct a histogram

Excel offers a graphical style that allows you to see the histogram relative to the simulated values. It's easy to use, but it can be useful to know how to construct a histogram from a series of data. The procedure is as follows:

  • find the "Min" and "Max" of the simulated series (Column A, for example): MIN(A:A), MAX(A:A) ;

  • determine the number of classes (n = number of simulated values): NB Classes = ENT(1 + LOG10( n ) * 10/3).

There are other ways of determining the number of classes in a histogram. This one, derived from Sturges' rule, is given as an example:

  • determine the "PAS" width of classes: PAS = [MAX(A:A) – MIN(A:A)]/ NB Classes ...

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