At the end of the course, the students should be able to:
Logic of statistical methods in criminology and security studies. Descriptive statistics and measures of central tendencies (frequencies, mean, median, range, mode, mean) that summarise the characteristics of a population and sample. Inferential statistics (estimates from sample) used to infer characteristics of population. Statistic parameters and estimations; correlation (bivariate, multivariate). Tests for data at different levels of measurement (categorical/nominal, ordinal, interval and ratio). Tests of association for nominal, ordinal levels of measures most often used in Criminology and security studies.
Pearson correlation and Spearman rank order correlation, regression analysis, analysis of variance, factor analysis, hypothesis testing, parametric and non-parametric tests. Statistical analysis software commonly used in social sciences (such as, SPSS).