The aim of the research to show the direction of kindergarten‘s
headmasters with students and know the educational technique used by
the teachers with students inside kindergarten , also to know the
differences of headmasters directions towards these technique
according to changing of social state (married , unmarried ) and age
state (30-38) (39-47) (48-56) .
Also shows the sign among the direction of head masters and
educational technique used by teachers with student, where as the
importance of this research shows the importance of the kindergarten
stage and the importance of management .
The role of headmaster and teacher consider the relationship between
them and the mother so that this origin direction shows the success of
this mission connect of providing the principle conditions of
kindergarten‘s management to choice the good simples then preparing
them in scientific way to success in this mission , but the researcher
show the research‘s problem from exploration study between
headmaster and teacher and from these simple experiments of
researcher after using (T) test with two samples , Berson‘s coefficient
connect and (T)test with one sample . the researcher reach to :-
The headmasters have positive direction towards the educational
technique used by the teacher towards student also there is no clear
point towards the social state (married , un married ) , but there is clear
point to the age state (30-38) (39-47) (48-56) and the favorite is
(30-38)
For the educational style the teacher used forgiven style more than
other one . so the researcher reach to suggestion used to benefit of
educational activity inside and outside kindergarten
The great scientific progress has led to widespread Information as information accumulates in large databases is important in trying to revise and compile this vast amount of data and, where its purpose to extract hidden information or classified data under their relations with each other in order to take advantage of them for technical purposes.
And work with data mining (DM) is appropriate in this area because of the importance of research in the (K-Means) algorithm for clustering data in fact applied with effect can be observed in variables by changing the sample size (n) and the number of clusters (K)
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In this research we built a mathematical model of the transportation problem for data of General Company for Grain Under the environment of variable demand ,and situations of incapableness to determining the supply required quantities as a result of economic and commercial reasons, also restrict flow of grain amounts was specified to a known level by the decision makers to ensure that the stock of reserves for emergency situations that face the company from decrease, or non-arrival of the amount of grain to silos , also it took the capabilities of the tanker into consideration and the grain have been restricted to avoid shortages and lack of processing capability, Function has been adopted
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