Part 1: World Development Indicators Use the dataset WDI2010exam.sav. You do NOT need to weight the data.
Part 1: World Development Indicators
Use the dataset WDI2010exam.sav. You do NOT need to weight the data.
1.1 Consider the variables HDGroup (which groups countries based on their Human Development Index Score) and tuber (Incidence of tuberculosis - per 100,000 people).
Present suitable graphical output to show how the incidence of tuberculosis varies depending on a country’s level of development. Your output should include a representation of the average for each development group, and some indication of the spread of cases within each development group. It should also include identification of any outlying cases in each development group.
1.2 In no more than 150 words report what your output for 1.1 shows about the relationship between development and the level of tuberculosis. You should cover both the level of cases and the spread of cases for the different levels of development.
2.1 Produce a scatterplot of the relationship between a country’s HDI Score (HDScore) and its level of CO2 emissions (CO2 emissions). You can transform one, or both, variables if you believe this is required.
You should identify which variable is the independent and which is the dependent, and follow the conventions for graphically displaying the relationship between them. You should include a 'line of best fit' in your graph, and identify by name any countries which you consider do not follow the general relationship.
To aid your analysis you should calculate the appropriate correlation coefficient and report this along with your graph.
2.2 In no more than 150 words justify your decision as to which is the dependent variable in 2.1, and describe the relationship shown in the scatterplot.
3. Using a minimum of three independent variables run a linear regression model with a country’s Infant Mortality Rate (IMRate) as the dependent variable.
Provide a brief report on the modelling process you undertook and the findings of your model. This should cover:-
- For each independent variable you chose to include in your model, a hypothesis as to the relationship you expect it to have with infant mortality, giving a brief reason to support your expectation.
- Any transformations you applied to specific variables
- A table summarising your model
- Any diagnostic tests you conducted and what they say about your model
- A discussion of the substantive meaning of your results.
This answer should take a maximum of 3 sides of A4.
Part 2: the European Social Survey 2011 (all data for the United Kingdom)
Use the dataset ESS2011exam.sav. You do NOT need to weight the data.
4.1 The trstplc variable records how much trust a respondent reports with regards to the police on a scale of 0 to 10. You can treat this as a continuous variable
Report the following for the trstplc variable, excluding those cases labelled as missing:
- The mean level of trust in the police
- The standard error of the mean
- The values for the 95% confidence interval for the mean
- The values for the 99% confidence interval for the mean
- The median value of trust in the police
You should report each of the statistics requested above for the sample as a whole, and separately for those aged below and above the age of 49 (use the variable age_bin).
4.2 In no more than 150 words report what the values in 4.1 indicate how trust In the police might be related to age.
5.1 Consider the variable happy_bin, which is a binary variable indicating whether or not a respondent reported an overall sense of happiness with their life.
- Identify four plausible explanatory variables, and provide a hypothesis as to their likely relationship with a respondent’s happiness.
- Undertake a suitable statistical analysis to test the relationships between your chosen explanatory variables and a respondent’s happiness. You can recode your explanatory variables as needed, and use any statistical technique covered in the course. Remember to consider issues of causal complexity as appropriate when choosing your statistical techniques.
- Briefly explain your approach to the analysis and comment on your findings (remember to include appropriate statistical output to support the points you make).
This answer should take a maximum of 3 sides of A4.
Deliverable: Word Document
