Course Code : | 1102TEWKWM |

Study domain: | Statistics |

Academic year: | 2019-2020 |

Semester: | 2nd semester |

Contact hours: | 50 |

Credits: | 3 |

Study load (hours): | 84 |

Contract restrictions: | No contract restriction |

Language of instruction: | Dutch |

Exam period: | exam in the 2nd semester |

Lecturer(s) | Heidi Arnouts |

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

an active knowledge of

specific prerequisites for this course

- competences corresponding the final attainment level of secondary school

an active knowledge of

- Dutch

- English

- general knowledge of the use of a PC and the Internet

specific prerequisites for this course

Solid basic knowledge of mathematics.

- 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.

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.

Class contact teachingLectures Seminars/Tutorials Skills training

Personal workExercises

Directed self-study

**5.3 Facilities for working students ***

Classroom activities

Personal work

Directed self-study

Classroom activities

- Lectures: recording available via video link on Blackboard

ExaminationWritten examination without oral presentation Closed book Multiple-choice Open-question

Continuous assessmentExercises

Continuous assessment

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. Additional examples, slides, exercises and self-tests are provided via Blackboard.

Heidi Arnouts : http://www.uantwerpen.be/heidi-arnouts