L/O: To structure and analyse your data effectively Analysing Your Data L/O: To structure and analyse your data effectively

What do you need to start? Introduction Hypothesis Definition of QOL Background Info Research on the two areas Method (Table) How you will investigate this Data Displays 2 primary displays and 1 secondary display for each key question (approx) Analysis of Results Graphs and description of graphs  Conclusion Are hypotheses correct? Which area has a better QOL?   Evaluation How could you improve? Limitations of our data

Analysing Data Guidelines + Structure Linked to relevant Key Question. (So you for each of your 5 key questions, good to put all results for each key question together with primary + secondary displays for each) What kind of data this is – Primary or Secondary? Where did the info come from? bi-polar, questionnaires or sec web ref www.neighbourhood.statistics.gov.uk Discuss what the data shows referring to some figures Which area is coming out on top? In a sentence, link this to quality of life

Triana Example . . . . Key Question – Is the environment in Tomares better than in Triana? Pie charts to show quality of kerbs, cleanliness of streets, parking and road crossings These two pie charts are primary data from my bi-polar sheets on Tomares and Triana. As you can see they show that the quality of kerbs in Tomares is a 5 but in Triana it is only . . . . . . (discuss data) This shows that overall, Tomares’ environment is better than Triana. This will mean that Tomares locals will enjoy a higher quality of life because. . . . . . . . . Tomares