BSc in Business Administration and Service Management
Method ll. Statistics and quantitative methods
Om faget
Det lærer du
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.