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: 
2020 Autumn
Active status: 
Active
Teaching language: 
English
Course type: 
One semester
Introduction

The aim of the course is to provide students with a formal understanding of the statistical concepts and tools of relevance in business and managerial economics.

Learning outcomes - Knowledge

A solid knowledge of basic statistics.

 

Learning outcomes - Skills

The skills necessary for the adequate application of basic statistical procedures.

General Competence

The ability to critically reflect on and evaluate others use of statistical methods.

Course content

1. Key Concepts and Basic Statistics:

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

2. Regression Analysis:

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

3. Qualitative independent variables:

  • 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
Sum workload: 
0

Text for 0 credits