The format of the assignment should include:
* Bibliography (Footnotes throughout the whole essay)
To investigate the correlation between crime rate and income inequality in European countries, the following formulas, calculations, and graphs could be used:
Correlation coefficient: A correlation coefficient, such as Pearson’s r, could be used to measure the strength and direction of the relationship between crime rate and income inequality. This involves calculating the covariance between the two variables, divided by the product of their standard deviations. A positive correlation coefficient would indicate a positive relationship between the variables, while a negative coefficient would indicate a negative relationship.
Regression analysis: A regression analysis could be used to model the relationship between crime rate and income inequality, and to identify any significant predictors of crime rate. This involves fitting a linear regression model to the data and testing the significance of the regression coefficients using hypothesis testing.
Bar graphs: Bar graphs could be used to compare income inequality levels among different European countries. This could involve plotting the Gini coefficient, which is a commonly used measure of income inequality, for each country.
Scatterplots: Scatterplots could be used to visualize the relationship between crime rate and income inequality. This could involve plotting the crime rate and Gini coefficient for each country and examining the pattern of points on the graph.
Boxplots: Boxplots could be used to compare crime rates among different income inequality groups. This could involve dividing the countries into quartiles or quintiles based on their Gini coefficient, and plotting the distribution of crime rates within each group.
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