This research was aimed to study the qualification of Kluaynamthai Hospital’s Personnels in three aspects; nutrition knowledgeconsuming behaviorand nutritional status. The research was also to study the relationship of the three aspects. The Stratified Random Sample method was used. There were 236 samples. The tools used were questionnaires and the 2008 annual check up information of the sample group. The data were analyzed by using frequency percentile mean and standard deviation. The statistic used was Chi-square significant level at 0.01 – 0.05. The study revealed that 65.68 % of Kluaynamthai Hospital’s Personnels had very good nutrition knowledge and 26.69 % 6.78% 0.42% and 0.42% had nutrition knowledge at good moderate passing and not passing respectively. The average of 2.91 of the group had good consuming behavior and the frequency of good consuming behavior at 2.69. or 91.95 % of the group’s consuming behavior was less affected by mass media. 49.58% of the group had normal nutrition status while 35.59% and 14.58 % had over nutrition and below nutritional status respectively. The study of the relationship between the nutrition knowledge and the consuming behavior revealed that there was the significant relationship between the two variables at significant label of 0.05

The objectives of the study were to fine the survival probabilities the haazard rates of dropping out of the tecnical diploma level students at Rajamangala University of Technology phra Nakhon North Bangkok Campus and the factors influencing on the university in 2005. The study foud tht the frist semester the survival probabilities of students in all divisions were high ranging from 0.9210 to 1.00 For the second semester the survival probabilities of students in all divisions ranged from 0/7820 to 0.8815 except Industrial Technology which had a maximum value of 0.9295 aned Metal Technology which had aminimum value of 0.6271. For the third and the fourth semester there were 6 division which had survival probabilities ranging from 0.7142 to 0.7971. They were Tool and Die Making Computer technology Eletrical Technology Electronics Auromatic Machine and production design. They 4 were Mechanical Tool Technology Business Computer Mechanical Power and Industrial Technolog. the hazard rates of dropping of students in all divising were low ranging for 0.00 to 0.0822. For the second semester the hazard rates of dropping of students in all divisions ranged from 0.1260 to 0.2458 except Industrial technology which had a minimum value of 0.0730 and Metal Technology which had a miximum value of 0.5221. For the third and the fourth semester the hazard rates of students in all division ranged from 0.1355 to 0.2962 excepy metal Technology which had the maximum value of 0.5932 and Tool and Die Making which had the value of 0.3364. The factors influencing on hazard rates of students drpout were place of previous school region of previos school and grade point average of previons school. The hazard rate of dropping of students graduation from school in the central region (not including Bankok Metropolitan Area) was 43% (0.562 times) less than the hazard rate of dropping of students graduation from schools in Bangkok metropolitan area. The hazard rate of dropping of students having grade aveage of 3.10-3.50 and 3.51-4.00 from previous school was 43.1% (0.569 times) and 63.7% (0.377 times) less than the hazard rate of students having grade point average of 2.00-2.50 respectively.

The objective of this study was to investigate the attitude of Rajamangala Institute of Technology Bangkok Commercial Campus towards Thai Study subject. The population in this study was 265 undergraduates majoring in Accounting Program Infomation Systems program and Marketting program. who regitered in Thai Study subject during the academic years 2001 - 2003. The data were co;;ected by using an attitude test measusing students attitude in students Thai Study subject in four aspects nameley the contents the lecturers the learing activities and the teaching method/materials. The collected data were then analyzed by computing percentages averages and standdrad deviations and frequencies. The analyzed data were compured percentages averages and standard deviation and frequencies. The analyzed data were compared percentages and standard deviation and frequencies. The analyzed data were compared according to sex and students programs. The findings were presented using tables with description.

The purpose of this research is to study the needs of information about Rajamangala University of Technology Phra Nakhon among Bangkok Metropolitan Area. It employs the quantitative research method using a questionnaire survey with the stratified sampling technique to collect 400 samples from the population of Bangkok Metropolitan Area. The statistics used for data analysis include frequency percentage standard deviation (SD) t-test of independence for two sample groups and one-way ANOVA for comparisons of more than two sample groups. The research findings are as follows: 1. Most respondents are female between 18-22 years of age with the average monthly income of 5000-10000 baht. Their highest education level is a bachelors degree and most of them are students. They averagely have a very high level of needs of information about Rajamangala University of Technology Phra Nakhon particularly about the universitys progression change and reputation through its own website as well as other relevent agencies websites at most. The reason for their information exposure is to help them decide about applying for a degree course a training and other activities held by the university. 2. Hypothesis testing results show that respondents with different ages average monthly income levels and occupations siginificantly have different level of needs of information about Rajamangala University of Technology Phra Nakhon

The objectives of the study were to find the arrival rate of applicants who applied to study at Rajamangala of Technology Pra Nakhon North Bangkok Campus the service rate of admission officers and to analyze queuing system in order to improve the admission system. The sample was 1722 technical students who applied to study in 10 divisions in 2007 and 2008. The plication date was collected every 10 minutes in each one-hour period from 09.00 am. to 16.00 pm. For 6 days. The study found that the distribution of the number of applicants was Poisson distribution. The highest arrival rate 1.29 student/min was at the second period and the lowest arrival rate 0.06 students/min was at the sixth period. The Distribution of service time at each station was exponential distribution. The highest service rate 0.67 min/student or 1.49 students/min was at the second station entering data into a computer. Queuing analysis in this study was series network. The analysis found that the highest expected number of applicants in the system 150 student/hour was at the first station in the second period and in the sixth period there was almost none. The highest expected number of applicants in the queuing system107.40 student/hour was at the first station in the second period The highest expected waiting time in the system.1.92 min/student and in the queuing system 1.37 min/student were at the first station. The probabilities of none of applicants in the system at the first the second and the third station in the sixth period were high 0.97 0.95 and 0.98 respectively. The proper value of the expected number of applicants in the system set in this study was not more than 60 student/hour and not less than 30 student/hour. The proper value of the waiting time in the system was not more than 1 min/student and not less than 0.5 min/student for stations for stations with more than one servers. The analysis found that at the first station one more server should be added in the second the third and the forth period and one less server should be reduced in the sixth period.