What are the purposes of ethnic monitoring? Give examples of its use.
What are the purposes of ethnic monitoring? Give examples of its use. Outline the difficulties in implementing ethnic monitoring, including those that arise in accurately classifying an individual's 'race'? Ethnic monitoring is a controversial subject that can basically be defined as the collection of racial data and statistics. Controversy exists because of the way in which information is collected, and the uses to which the data has, or in some cases has not, been put. Despite the debates about the validity of the collection of racial data, it is still collected, and has been since the 1960s. This very fact illustrates the way in which it is felt that the knowledge of an individual's 'race' is necessary to allow the study of social divisions, and the position of the individual within society. There are three primary purposes for the collection of racial data. The first of which is the most basic element of fact finding. It is a common trait of bureaucratic societies to collect information about everything possible, regardless of the need for it, or whether there is any potential advantage in having access to the data. The pointlessness of this sort of data collection is illustrated by the fact that between 1966 and 1973, data was collected about immigrant school pupils in the UK, but the government later admitted, that "no use was made of the data" (Skellington, 1992).
Do older students (September born) attain better results in KS3 maths than younger students (august born)?
MATHEMATICS COURSEWORK: STATISTICS QUESTION: Do older students (September born) attain better results in KS3 maths than younger students (august born)? PREDICTION: I hypothesize that older students do attain better results than younger students. In order for me to complete the above investigation, I will first need to devise a plan for me to go with so that I can keep errors and irrelevant work to a bear minimum. PLAN: . COLLECTING DATA: I will need to choose a suitable method of sampling to collect my data, in this case I will simply highlight the months September and August on my data sheet and use the information appropriately. 2. RECORDING & PRESENTING DATA: I will be required to use a clear and informative way of presenting my selected data. 3. LOOKING FOR RELATIONSHIPS & MAKING COMPARISONS: I need to use my statistical knowledge to describe and talk about any relationships that I can see, and also any comparisons I can make between different sets of results. 4. EXPLANATION OF RESULTS: I will need to describe and explain my results, stating their reliability and any apparent patterns. 5. EXTENSION OF PROBLEM: if there is enough time, and my investigation is correctly completed to a suitable standard, then I may think of extending the problem. 6. CONCLUSION/EVALUATION: I will need to write a summary of what I found out and maybe how I could have improved on it.
I intend to conduct an investigation involving two sets of variables (x and y) in order to see how they relate to each other.
James Fletcher 09 May 2003 Statistics 2 Coursework Part 1 DESIGN: I intend to conduct an investigation involving two sets of variables (x and y) in order to see how they relate to each other. I will choose a topic and then collect data from a secondary source attempting to analyse the variables such that a conclusion may be met, in terms of correlation and regression; according to the coursework criteria. A very important aspect to this investigation is that the two variables of data have the likelihood of affecting each other (or just x affecting y) whilst ensuring that any other factors remain either constant (and have little to no affect on these data sets), or ensuring that any other factors present can be taken account of (at least in the qualitative sense), so that the conclusion to these sets of data is both valid and meaningful. In everyday terms, the investigation I intend to conduct will follow a practical and significant path. Hopefully, the conclusion will shed some light on the set of quantitative data, producing an outcome of significance and, to some degree, provide useful information on the issue that was not already apparent. 'I propose to find out if there is a relationship between the amount of teenagers smoking cigarettes and the rising number of teenagers with mobile
Football Hooliganism
I am going to study football hooliganism. I have chosen to study football hooliganism because I am very passionate about football I play it almost everyday, I even play for a football team. Football is my favourite sport. There is only one bad side of football and that is all the violence that takes place as a result of this wonderful game. I feel that there are too many football hooligans that just want to cause trouble. I want to find out if alcohol is the main cause of all of this violence. My hypothesis is football hooliganism is alcohol related. I aim to cover what makes a person become a hooligan, is alcohol directly linked to football hooliganism, why do hooligans do what they do and are football hooligans really football fans. Hypothesis Football hooliganism is alcohol related. Key questions ) Does alcohol fuel football violence? 2) What fuels football violence? 3) Is football hooliganism an English problem? 4) Is being a football hooligan enjoyable? Research methods I am going to use the Internet and the library to gather my data. These two sources of information are highly accurate because I will be looking in factual books and on the Internet. Methodology Sociologists use many different research methods to investigate the society. There are two main sources of data that sociologists tend to use. These sources are primary and secondary sources.
Research Methods.
Introduction There are basically two main research methodologies available to tourism researchers, which include: Qualitative Research and Quantitative Research. Firstly, definitions of these methods will be presented. Then, similarities and differences of the qualitative and quantitative research will be identified. Next, their usual distinctions will be discussed in different perspectives, which will be summed up by the implications of the two major researches and conclusion. Part 1: Definition of the Research Methods To begin with, let us define what is qualitative and quantitative research as to ease the understanding of the forthcoming discussions. Although there are dissimilar definitions by different writers, I have summarized the main points as the followings: Qualitative Research is commonly not concerned with numbers and entails gathering a great deal of information about a small number of people. The information collected is normally not presentable in numerical form and it is used to understand human's behaviour and situation(Veal,1997). Besides, it generally avoid the workings of objective, scientific research(Cunningham,1999). In addition, it tends to be naturally explanatory, directional and is designed to bring out issues
Quantitative Techniques for Business
Assignment 1 Quantitative Techniques for Business Michelle Grant HND Business and Finance Trevor Louth st March 2002 Assignment 1 Data according to HNC/HND Business core unit 5: Quantitative Techniques for Business (p52) "Data is simply a 'scientific' term for facts, 'figures, information and measurements". Data can be divided into two, discrete and continuous. Discrete variables can take a finite or countable number of values within a given range, whilst continuous variables may take any value as they are measured rather than counted. Information is data that has been transformed in some way. It could have been transformed by: summarising the data, tabulating the data, analysing the data and by data presentation. There are two main categories of data, they are primary and secondary. If the data is 'raw' it is still un-processed, basically it is still in the format that it was collected, e.g. a list of numbers. Primary data is used for the purpose it was collected, the investigator will know exactly where this data came from and the circumstances under which it was collected. Secondary data is used for a different purpose to that which it was collected, because the investigator did not actually collect the data he/she may not know what limitations there are to the data and it may not be one hundred percent suitable for the purpose that they intend to use it