Incidence of alcohol consumption Research Paper Example | Topics and Well Written Essays - 750 words

Incidence of alcohol consumption - Research Paper Example Phase one. Before analyzing the general incident of alcohol consumption, it is of importance to analyze or define the community in the subject matter first. The community in question here is the New Jersey community. The specific population being assessed involves males from the teen age to adults. That is the most vulnerable population all over the world. Teens also have engaged in drinking habits even though the federal government for instance the America, prohibits this act. According to America, the legal drinking age should be persons who have attained 21 years and above, although the life dynamics have altered this criterion. Now, the above-mentioned population has pertinent role in the community. First, they are male, and so the notion of responsibility should be thought of whenever males are mentioned. In short, this population has the responsibility of protecting the community as a whole, either directly or indirectly. The boundaries of this group are the Pennslylvania, New York and Delaware. The community also borders the Atlantic Ocean. Moreover, the geographical boundary that separates this group from others is the administrative boundaries, which separates if from Delaware, New York and Pennclyvania as well as the Pacific Ocean. The group is located in America, and it is one of those communities that alcohol is an alarming factor, and that is why it is being assessed. It is pertinent also to note that non-governmental group will do the assessment in conjunction with the governmental officials. Phase two. This phase involves the data collection method described for the data generation and gathering. First, some of the data methods used to collect information ranges from the non-governmental organization all the way to manual and just individual data collection. Some of the bodies that will assist in the data collection are the American FactFinder, Epodunk, county, and state quick facts to mention but a few. At the same time, governmental agencies ga ve in their efforts just to ensure all the alcohol assessment procedure has gone through perfectly. They are the, national center for statistics, healthy people as well as centers for prevention and control of the disease. Data gathering The first method of data collection involved internet search. This was to investigate general information about the population. Through internet research, the following information were gathered: Ethnic population: Race Population Total population 6135 white 5623 Latino or Hispanic 302 Others 210 Median age Population groups; Under 15 years 17 % 15 to 24 years, = 20 % 25 to 44 years, = 21% 45 to 65 years, =28 % Over 65 years, = 14 % Income and alcoholics in New Jersey: Household=$ 31,550, and the percentage of the community below poverty level=10 %. Now having illustrated the above it is worth to note that the statistical data in percentage on those who are alcohol addict is as follows. Under 20 years 18.4 % 20 to 35 years, = 43 % 35 to 45 years, = 31% 45 years and above, =7.6 % (Moderation Management, 2008) Graphical representation; Almosty the same informartion has been obtained through manual intervew, and newspaper. That me ans that the internet is updated as oper the data iobtained in several fields by the researchers. After updating it in the newspaper, the same is taken and tabulated on the internet for educational purpose. With

Advantages of queuing theory Essay Example | Topics and Well Written Essays - 750 words

Advantages of queuing theory - Essay Example Reneging happens when a prospective client decides to leave and forgo that service he is queuing for mostly because the queue is too long. In this calculation the main principle is that the costs of waiting in queues are normally inversely proportional to the timely cost of service. Queuing theories are clearly known to be simple as they normally require less data and it is known to produce results that are generic. This is the advantage of using queuing theory over the use of simulation as models of queuing theory. The theory is widely used in service rendering sectors such health services area. Also in the same field of health care (Aaby et al. 575) describes the use of spreadsheets and spreadsheets software to implement the desired queuing network models of mass vaccination in the dispensing clinics. Another important example of software that forms part of such a system is found in an emergency department. (Broyles and Cochran, 615) say it is quite able to calculate the percentage number of patients who usually leave the emergency department without actually getting help. This can be done by assessing the arrival rate, utilization, service rate as well as the capacity of the health care. It is out of this percentage that they can be able to actually determine the revenue that has been lost from the patients who left without being served. Disadvantages of queuing method Since the queuing theory models are mostly based on what is referred to as the exponential distribution, they work through applying these traits of exponential distribution. The main problem that comes with this is that in that this exponential distribution normally has a coefficient with a variation of one. This fact has the effect of precluding the modelling of any other process that has a coefficient which is of variation significantly different from one. Therefore Because of the low likelihood that any of a random process will just be having a coefficient of variation that is just one, thi s queuing theory is considered to have the disadvantage of low applicability and practicality. While the number of assumptions for most of these applications of queueing models is normally few, they sometime tend to be quite irrational. This is clear especially when human queues are involved. From the theory, it is understood that human behaviour is uniform and can be determined. This is quite untrue because human character and behaviour vary from one human being to another. Thus from these assumption some critics have argued that the queuing theory cannot apply where human being are involved in the queue. The assumptions are not normally correct as human behaviour is not actually determinable. Where as one person shall behave in a certain manner, another person might act the actual opposite of what the other person did. For instance, one assumption can be that a person is likely not to enter a queue if he finds that there are too many people already ahead in the queue. In reality, this may not be true; otherwise, the situation would be that there would be no lines outside stores. Another point to discard the assumption there would no store opening on holidays for those maybe seeking to buy late gifts. The restrictive nature of the assumptions of the queuing theory is also another disadvantage that exposes the theory to criticism. The nature of the production lines is quite complex and cannot be fully explained by the simple models that are provided for by the queuing theory. Therefore in order to cure this there are specialized tools which have been developed in order to simulate, visualize, analyze, and finally