FORK 1002 Preparatory Course in Statistics

FORK 1002 Preparatory Course in Statistics

Course code: 
FORK 1002
Department: 
Economics
Credits: 
0
Course coordinator: 
Genaro Sucarrat
Product category: 
Master
Portfolio: 
Master - Preparatory course
Semester: 
2019 Autumn
Active status: 
Active
Teaching language: 
English
Course type: 
One semester
Introduction

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

Learning outcomes - 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.

Learning outcomes - Skills

-

General Competence

-

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
Teaching and learning activities

15 hours with lectures and 5 hours in the computer-lab

Software tools
Matlab
R
SPSS
Stata
Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have spesific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Type of Assessment: 
None
Total weight: 
0