Discriptive Statistics and Probability Theory

Course Code :	1105TEWKWM
Study domain:	Statistics
Academic year:	2019-2020
Semester:	1st semester
Contact hours:	50
Credits:	3
Study load (hours):	84
Contract restrictions:	No contract restriction
Language of instruction:	Dutch
Exam period:	exam in the 1st semester
Lecturer(s)	Stephan Van der Veeken

1. Prerequisites *

At the start of this course the student should have acquired the following competences:

competences corresponding the final attainment level of secondary school

an active knowledge of

Dutch

a passive knowledge of

English

general knowledge of the use of a PC and the Internet

specific prerequisites for this course

Solid basic knowledge of mathematics

2. Learning outcomes *

Analyst: You are familiar with the basics of descriptive statistics and probability theory.
Analyst: You have a basic understanding of relevant scientific methods and techniques.
Coordinator: You are familiar with the statistical methods used to support policy decisions in the private and public sectors.
Coordinator: You have problem-solving skills and powers of analysis, can synthesise and integrate different perceptions, apply and assess methods in a critical way.
Coordinator: You can justify, explain and apply statistical techniques and methods with regard to concrete research questions.
Coordinator: You can use the statistical software JMP (see www.jmp.com).
Communicator: You can justify and explain the statistical techniques and methods.
Communicator: You are able to construct accurate reasoning (from analysing the problem to the solutions and conclusion) and can report about this in a clear way.

3. Course contents *

The course starts with a general introduction to, for instance, what statistics are about, the paradigms of statistics, the collection and measuring of data, measurement scales, types of random samples and random sample errors, etc.
In descriptive statistics, we summarise the data by discussing the most important graphic and numerical representations and the choice of the most correct representation. After a brief overview of the probability theory we study random variables, using the most important discrete and continuous distributions as examples. The final topic of the course is the central limit theorem.

4 International dimension*

5. Teaching method and planned learning activities

Class contact teaching

Lectures

Seminars/Tutorials

Skills training

Personal work

Exercises

Directed self-study

6. Assessment method and criteria

Examination

Written examination without oral presentation

Closed book

Multiple-choice

Open-question

Continuous assessment

Exercises

7. Study material *

7.1 Required reading

Handbook "Beschrijvende Statistiek en Kansrekenen" (Peter Goos) as well as the formularium and book "Kansen en verwachtingen" (Peter Goos and Anja Struyf) are available at ACCO (circa €24,95). Additional examples, slides, exercises and self-tests are provided via Blackboard.

7.2 Optional reading

The following study material can be studied voluntarily :

8. Contact information *

Stephan.VanderVeeken@uantwerpen.be