Course description

FORK 1002 Preparatory Course in Statistics


This course focuses on statistical concepts and tools of relevance in business and managerial economics in particular, and in the social sciences more generally.

Course content

1. Key Concepts and Basic Statistics (4 hours):

  • Key Concepts
  • Descriptive statistics
  • Frequency and Probability Distributions
  • Hypothesis Testing
  • P-Values
  • Interval Estimation

2. Regression Analysis (8 hours):

  • Bivariate correlation analysis
  • The multivariate linear regression model
  • Estimation
  • Hypothesis testing

3. Qualitative independent variables (3 hours):

  • Qualitative vs. quantitative variables
  • Dummy variables
  • Combining qualitative and Quantitative variables

Learning outcome knowledge

To provide students with the understanding of the fundamentals of basic statistical principles, the skills necessary for interpretation and evaluation of data, and sufficient knowledge for the adequate application of basic statistical procedures.