69.09%受访者来自英国，19.40%受访者来自苏格兰和11.51%受访者属于威尔士。三政治候选人所研究的是David Cameroon、Ed Miliband和Nigel Farage。
The following report deals with statistical analysis of the survey to gauge the political temperament of Britain in context of the Elections to be held in 2015. The survey was conducted during February and March 2014 by Universities of Manchester, Oxford and Nottingham combinedly to cover 30,239 respondents in England, Scotland and Wales.
69.09% respondents are from England, 19.40% respondents hail from Scotland and 11.51% respondents belong to Wales. The three political candidates about whom the study is to be made are David Cameroon, Ed Miliband and Nigel Farage.
The report intends to compare the general perception about the three leaders on several aspects including regional, demographic, social, economic and attitudinal aspects. It is important that such analyses be carried out because firstly, it gives a general perception of what the present day UK wants in her leader. Secondly, such analyses give an approximate idea of what according to the general population are the bigger problems facing the economy. This would not only help the leaders prepare their manifesto but also to act accordingly later. The essence of democracy lies in the fact that the expectations of people are met appropriately. The most successful governments of a country have been able to cash on the expectations of the citizen and meet them sincerely. These expectations can be about development, economy or any other facet of the economy. Thus such a study becomes very important and should be carried out on as broad a scale as possible. Since such analyses are based on survey outputs, the scale of the survey matters a lot to prevent sampling bias. Sampling bias features in when only a certain part of the overall population is covered and other parts are either misrepresented or not represented at all. If such a bias features in the analysis, it is obvious that the result will also be biased.
The following report covers approximately 20,881 complete responses. This number is large enough to assume that all the sections of the populations have been properly represented and that the observations will follow normal distribution. The central limit theorem states that as the number of observations increases, the distribution of the data tends to move towards normal distribution. Thus, it is safe to assume that the sample does not have any inherent bias as such.