Data Analysis Coursework Example | Topics and Well Written Essays - 1750 words

Data Analysis - Coursework Example The APS is intended to be representative of the whole of the population of the UK. The population covered by the survey is all people resident in private households and young people living away from the parental home in student halls of residence or similar institution during term time. The survey covers a target sample of at least 875 economically active persons for each Unitary Authority (UA)/Local Area District (LAD), and at least 450 economically active persons in Greater London Boroughs. The number of jobseekers is derived from the Work and Pensions Longitudinal Study (WPLS), which also contains data on jobseekers allowance claimants. The data was obtained from computer systems used to administer the benefits. Although the data downloaded covers the whole Great Britain, only figures relating to London were extracted for analysis. Both datasets were downloaded from government’s Neighbourhood Statistics website  http://www.neighbourhood.statistics.gov.uk Selection Process The process of selecting the jobseeker’s allowance data is as follows: on the Neighborhood Statistics website, click on Topics, then Economic deprivation, then Jobseekers allowance claimants, choose the year and tick download on the right hand side, choose Microsoft Excel file. The file download is initiated. The process is repeated for all five years. For the unemployment data, click on topics and then proceed to Economic deprivation, Worklessness: economic activity, choose the time period and check download on the right hand side, choose Microsoft Excel file. The file download begins automatically. The process is repeated for all five years. Since the analysis only sampled data from cities in London, the findings may be skewed and hence not applicable to all other cities in the rest of Great Britain. However, one strength of the paper is that it uses data covering duration of five years and therefore takes account of any seasonal or periodic fluctuations. Objective This pa per will investigate the relationship between the number of unemployed persons and the number of persons claiming jobseekers’ allowance in London region. To ensure that eligible persons are included in the survey, data pertaining to persons aged 16-64 years only was used in the analysis. Types of analyses to be conducted Analyses of the data provided will begin with an exploratory analysis followed by in-depth statistical analyses which will act as confirmatory tests to any hypothesized relationships made in the first stage of analysis. Under exploratory analyses, descriptive statistics will be computed, a relationship will also be hypothesized using a scatterplot and bar graphs. In the second phase of analysis, the equation relating the two variables will be modeled. Correlation analysis will also be used to investigate the strength of the relationship observed above. A residual plot will be used to confirm the presence or absence of outliers, the plot will also indicate whe ther there were any particular areas where the model greatly under or over-predicted the relationship between unemployed persons and persons seeking employment1. Detailed analysis and conclusions will also be made using a regression model. Data collected from the five year period has been consolidated in to two variables: unemployed (Unemployed Persons Count) and jobseekers (Jobseekers Allowance Claimants). EXPLORATORY ANALYSIS Descriptives of the data is as shown: A plot for the individual years covered during the study is shown

Burger King Beefs Up Global Opertions Case Study - 1

Burger King Beefs Up Global Opertions - Case Study Example Burger King was able to configure and coordinate its value chain by supporting local suppliers that has met its global specification and standards. It also seeks to build its own infrastructure if the there is no existing value chain infrastructure in a market that it intends to operate. This ensures that its supply chains deliver goods and services quickly and cost-effectively (Raman and Narayanan, 2004) to serve its market. It also seeks to have committed local franchisees to coordinate its value chain and if there is none, Burger King is willing to own up its value chain. Burger King’s chain activities that creates value for the company is its willingness to own up and invest on its own value chain if there is less commitment among the local partners that it intends to operate. 3. Burger King globally expanded later than its main fast food competitor. What advantages and disadvantages has this created? There are few disadvantages in coming late into the global market. First, the suppliers of the market that it intends to penetrate may be few. For example, there may be just one slaughterhouse and that its owners may be unwilling to work with one customer. There are also advantages in coming in late in the global market. Its most obvious advantages are that it will spend less for product awareness because earlier entrants have built awareness and demand for fast food. Brands are important to cultivate in any given market because it adds value to the product it is selling and also enable companies to sell at premium prices. Brands are also the quickest way for companies to express what they can offer (New York Times, 2009). 4. When entering another country, discuss the advantages and disadvantages that an international restaurant company, specifically Burger King, would have in comparison with a local company in that market. The most obvious disadvantage of an international