Gathering and preparative treatment of the data gained n a course of measurement of figures of merit of a difficult process
In the absence of the data necessary for the analysis, a difficult process, the further works but to definition key figures of merit of a difficult process are impossible, hence, in the organisation data collection process about figures of merit should be adjusted.
Besides, collected data it is necessary to subject to preparative treatment for definition of key parametres of their laws of distribution and maintenance of reliability of results of the subsequent analysis.Statistical management of a difficult process realizable only in the event that its base statistical stability is attained, i.e. distributions of the personal computer of a difficult process and іюдпроцессов should submit to certain laws of distribution [EZ]. Really, in the absence of regularity of distribution of random quantities it is impossible to predict the future values of the personal computer of a difficult process and subprocesses. Accordingly application of methods of the statistical analysis will not bring any results.
As uzho it has been told above, there are continuous and discrete personal computers, hence, laws of distribution which will be used in the given work, also share on two groups:
1) laws of distribution for discrete magnitudes;
2) laws of distribution for analogue quantities.
For discrete magnitudes exists three naibe lee often meeting laws of distribution: the binomial law of distribution, the law of a law of small numbers and the polynomial law of distribution [84].
In a case if number of classes to the personal computer is reduced to two (yes/is not present, mnsgo/few, a discard / suitable) apply the binomial law of distribution, in which probability of reference of value of the personal computer to a class And And? Time it is equal:
IKrrt =
And KHP) 1
L! g, - l _____.Jr
To
(PL)
Where iykn - number of hits in a class, l - number of tests, r - verojate§ost references of value I (To to class Aj, q — probability of reference of value IK to class Az.
In a case if the probability of reference of the personal computer to a class And is too small (р3 empirichssnjue distribution mismatches theoretical if And
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