Syllabus

Statistical Analysis

Code
GST2CL
Points
7.5 Credits
Level
First Cycle Level 1
School
School of Information and Engineering
Subject field
Statistics (STA)
Group of Subjects
Statistics
Disciplinary Domain
Natural Science, 100%
This course can be included in the following main field(s) of study
Microdata Analysis1
Progression indicator within (each) main field of study
1G1N
Approved
Approved, 30 January 2020.
This syllabus is valid from 30 January 2020.

Prerequisites

  • General entry requirements and Mathematics 2a or 2b or 2c, Social Sciences 1b or 1a1 + 1a2

Summary in English

At the end of the course students will be able to:

  • summarize and interpret data with the use of descriptive statistics.
  • interpret print-outs from linear regression.
  • perform statistical inference.
  • calculate probabilities with the use of probability distributions
  • perform calculations for random variables as well as for dependent and independent events.
  • use statistical software in the frame of the course content.
  • use the terminology in the framework for this course.