By simulating loads of
sizes in [nmin, nmax],
random discrete uniform,
creates a file with T sample sums and
their sizes, from which the average can
be calculated. The items are considered Gaussian,
μ, σ .
This supplies what could be industrial lists,
such as records of truck weights with known
(unequal or equal) numbers (sample size) of bags.
Data delimiter — The delimiter chosen
is applied to separate the two values ('sample sum', 'sample size')
in each row, producing:
(i) space, a matrix table;
(ii) tab, a copy-paste spot;
(iii) ';' (semicolon), a Euro. 'csv' file;
(iv) ',' (comma), an Amer. 'csv' file.
Draws plots of: the averages, and
the estimated μ (for the individual values), |
