Statistical Project on Human Resource - Essay Example

In contemplation to UK, Qatar is a country providing free historicity to their citizens and is also having sufficient electricity to its taint their national and corporate requirements. On the contrary, UK has maintained the belief that charging electricity and other energy sources will realizing the value of fuel and also develop optimum usage of the resources (Middlemiss and Gillard, 2015). However, the slow decrease in the rate of fuel poverty does not justify the policy of the UK Energy Sector. It was noted in the Annual Fuel Poverty Statistics Report 2014 that the cumulative gap of fuel poverty is expected to increase to £1.1 billion in the year 2014 from £1 billion in 2012 (Department of energy and climate change, 2014a).      

The average electricity’s being paid by a small flat or house (2000kWH consumption of electricity) in UK is £67 per month and the yearly bill is £802 and the average electricity bill for a medium house (3200kWH consumption of electricity) is £ 1163 (Department of energy and climate change, 2014b). According to the LIHC measure, it has been highlighted that almost foreign students have to pay around 5 to 12% of their total income for electricity income which is quite costly in comparison to the free electricity service provided in Qatar. The cost of living for the immigrant students has increased because high-end electricity charges imposed by Governed and other service provider to restrict the use of energy (Lawson, Williams and Wooliscroft, 2015).

This section of the assignment highlights the results that are obtained after analysis of SPSS data. The data is obtained from the responses of the questionnaires. The main aim of the survey is to measure the effect of financial cost of energy on the behaviour of individuals in the UK. The statistical analysis is depicted with the help of graphs, which clearly reflects the outcomes of the questions that are asked to the respondents. The assignment aims at depicting the relation between people behaviour and gender, age and people behaviour and time period and people behaviour. The project is divided into 3 parts, where the impact of age, gender and time period is examined with respect to the changes in the financial cost of energy.

Socio-demographic features are significant in any online or offline survey. If the questionnaires are asked to a group of respondents with varying age boundaries, then the conception of different age groups are identified. The target audience helps highlighting the bent of mind of a specific age group (Dobronte, 2013). Hence, it is very useful to divide the respondents according to different age groups. In this survey, the age group plays a pivotal role as the people behaviour can be identified with respect to the changes in energy cost.  

The following tables and graphs helped in analysing the results that are obtained from the questionnaire and SPSS analysis. The data obtained from the questions are presented in the graphs.