Abstract
ABSTRACT:
The necessity of processing the experimental data comes from the following reasons:
1. at repeated measuring for the same measured output, as a result of some errors occurrence, result several measures which some are affected by serious errors and these must be removed;
2. through processing are assigned the most probable values that the measured out volume can take and the dispersion of these values, or other parameters which characterize or point out the phenomenon in discussion.
Because of time or costs, in reality measuring cannot be repeated many times and one can state that measurements have been taken on a sample, a sample has been drawn or a testing has been made. In order to check the correctness of the distribution of the obtained data, and to remove the wrong data, the statistical processing of the results is appealed following which the characteristics of the batch can be determined, this being equivalent to an assessment of the parameters of the latter through data processing obtained on samples.