BSc in Business Administration and Service Management
Method ll. Statistics and quantitative methods
About the course
What you will learn
Upon completion of the course, the students should be able to:
- Explain different kinds of population characteristics (types of variables), their measurement from a sample, and sampling biases.
- Explain and discuss the concept of probability and the concept of inference, and relate to measures of test statistics, critical value, confidence interval and p-value.
- Explain and perform appropriate tests of hypotheses about means and proportions
- Explain and perform tests of hypotheses about the association between two categorical variables.
- Explain the concept of correlation between numerical variables, and compute a correlation coefficient
- Explain the logic of regression analysis and the difference between correlation and regression analyses. Formulate and discuss adequate regression models for explaining different phenomena.
- Perform linear regression, including multivariate regression and regression with categorical (dummy) variables as explanatory variables. Interpret regression coefficients and related measures (t-tests, F-tests, standard errors, p-values etc.) and the determination coefficient (R2), and investigate residuals.