The research was aimed at studying 1) fuel energy saving of automobile drivers in Nonthaburi province 2) a correlation between cause and effect on fuel energy saving of automobile drivers in Nonthaburi province and 3) a model made for assessing fuel energy saving of automobile drivers in Nonthaburi province. The questionnaires were constructed as a tool for collecting data from 2389 automobile drivers who had been getting their car filled in gas station in Nonthaburi province. The statistics used for analysis were SPSS version 17.0 with frequency distribution percentage arithmetic mean K related samples and path analysis. The research finding indicated that the 98.06 percents of automobile drivers in Nonthaburi province had knowledge about fuel energy saving the 87.99 percents had agreeable attitude towards fuel energy saving and the 80.59 percents had operated fuel energy saving. They all had different levels of knowledge attitude and operation. It showed that the automobile drivers with knowledge and agreeable attitude didnt sometimes put it into operation and they sometimes had disagreeable attitude in spite of having knowledge. The result of hypotheses tests at the statistical significance of 0.05 showed that the types of fuel energy used in the car a change of types of fuel energy used in the car knowledge provided about fuel energy saving in the car knowledge and attitude towards fuel energy saving in the car correlated with fuel energy saving of automobile drivers in Nonthaburi province. Moreover a model made for assessing fuel energy saving of automobile drivers in Nonthaburi province was

Instant Breakfast cereal (IBC) is very popular and has increase tendency the target group in worldwide such as children teenager and adult which live in central city. In this study has aimed to 1.) to study for type and species of the Thai banana which produce to the standard and quality banana flour 2.) to study the fix factor of formula and condition by extruder machine 3.) to study the acceptance of consumer about IBC. The study used CRD to design the method and has a stable variable is 1 % CaCo. The part of vary variables are the ratio between banana flour (BF): corn flack (CF) and the processed condition of IBC at 30:70 had a fit extend ratio. And this research study about the level of GS at3 levels 03 and 6 g. which at 6 g.the IBC had well scores of 7 to 8 (likr moderately to like very much; used 9 Points Hedonic Scale method for the sensory test)

The objectives of this research were to study present problem and barrier factors and the development of science and technology research co-operation model for Thai Public Higher Education Institutions. The samples were 388 executives in 8 Thai Public Higher Education Institutions. The instruments were questionnaire survey executive interviews and query data. Data analysis were statistical and content analysis. It was found that Thai Public Higher Education Institution policy supported the research. These were co-researches co-devices and exchanged expert researcher in knowledge. The successful factors were capitals benefits shared goals quality development and increased researches based research system the expert persons research resources reward and motivation and draft model with 4 elements: structured cooperation research funding support standard and mechanical cooperation and types of unit administration. When the draft model was completed it was brought to Connoisseurship meeting for science and technology research co-operation model for Thai Public Higher Education Institutions.

The purposes of this study were to develop a model of Business Analysis in Statistics instruction through Content integration to enhance connection skills on Multiple Regression Analysis at undergraduate students of the 1 Semester academics year 2009 Rajamangala University ofTechnology Pha Nakron and to study their Business Analysis in statistics achievement being taught by using those model of Business Analysis in Statistics instruction.

Advertisement and admission of target applicants who will be new undergraduate studentswill help to reduce costs promote or recruit off- campus as well. The decision tree Technique can be used to develop models to forecast numbers of new students in the classification rules for accuracy. It helps to decide on the form and place in admission of new students to meet the target even more. The seven models developed by using the rules of classification techniques decision trees were built and tested with different sampling methods: 3 models of k-fold cross-validation 3 models of percentage split and a model of training set and test set. The study result for forecasting new students via model developed by training set and test set method is higher performance than model developed by other methods. It was shown that the efficiency was 94% the precision was 94.3% the recall was 94% and the F-measure was 93.7%. Thus this model is accurate in forecasting numbers of new students using the classification rules with decision tree technique.