• Identify, formulate and apply adequate statistical and quantitative methods introduced in the course to analyse different research problems.
• Identify and employ statistical and econometrics models that are appropriate for analyzing relationships between continuous and categorical variables, or both.
• Explain and employ the concept of inference, and relate to measures of test statistics, critical value, confidence interval and p-value.
• Identify and evaluate the assumptions behind the statistical and econometric methods introduced in the course.
• Apply multiple regression analysis, such as linear regression and logit regression, to empirical data, and interpret the results (coefficients, t-tests, F-tests, standard errors, p-values, etc.) appropriately.
• Reflect on the strengths and weaknesses of the methods introduced in the course.
• Conduct statistical and econometric analyses using a software package (e.g., Stata or R).

The course provides students with theoretical and hands-on knowledge about statistical and quantitative methods in business and social science at an introductory and intermediate level. On completion of the course, the student should be able to understand the methods introduced in the course and apply them to a specific research problem. The course introduces students to basic statistical analysis as well as multiple regression analysis for continuous and categorical variables. The course consists of a mix of lectures and exercises. In the exercise classes, the methods introduced in the lectures are applied to empirical data relevant for the study of international business and politics.