Exploratory data analysis (including use of tables, charts and descriptive statistics to explore the data set(s) for patterns, differences, trends) .

1000 word analysis report from SPSS on a large data set of regional economic and social indicators from the UK and Germany (NUTS2) •Data reduction/manipulation (e.g. creation of new variables, selection of variables, and/or splitting the data set(s)) •Hypothesis construction (formulation of appropriate hypotheses based on sound reasoning) •Exploratory data analysis (including use of tables, charts and descriptive statistics to explore the data set(s) for patterns, differences, trends) •Hypothesis testing (including use of appropriate inferential methods to (i) test for differences between samples (comparing groups tests); and (ii) test for the existence and strength of relationships between variables (correlation) and model effects of one variable on another (regression)) •Presentation and interpretation of results of inferential statistical analysis (including reporting of test results, significance values and meaning in relation to hypotheses). The following elements should be included: 1)Introduction: outline your research questions, state the hypotheses you intend to test and provide supporting rationales. 2)Methods: describe the steps you took to test each of your hypotheses. This should include details of any data reduction/manipulation carried out, why you chose to use each particular statistical test (think about assumptions e.g. are your data normally distributed?), etc. 3)Results and discussion: present the results of your analysis. This should include graphs, descriptive statistics, results of inferential tests and interpretation of what they mean! 4)Conclusion and evaluation: summarise the key findings of your analysis in relation to your original hypotheses (bullet points are fine here) and discuss how the analysis could potentially have been improved/extended.