Statistics II for Business Economics

6 ECTS credits
179 h study time

Offer 2 with catalog number 1009724BNR for all students in the 2nd semester at a (B) Bachelor - advanced level.

Semester

2nd semester

Enrollment based on exam contract

Impossible

Grading method

Grading (scale from 0 to 20)

Can retake in second session

Yes

Enrollment Requirements

Studenten die dit opleidingsonderdeel opnemen, moeten geslaagd zijn voor ‘Statistiek I voor de bedrijfseconomische wetenschappen’ en voor minstens 30 ECTS-credits op bachelorniveau. Studenten die ingeschreven zijn in de verkorte bachelor toegepaste economische wetenschappen, kunnen inschrijven voor dit opleidingsonderdeel.

Taught in

Dutch

Faculty

Faculty of Social Sciences & SolvayBusinessSchool

Department

Business Technology and Operations

Educational team

Ona Van den bergh
Ineke van Gremberghe (course titular)

Activities and contact hours

39 contact hours Lecture
56 contact hours Seminar, Exercises or Practicals
123 contact hours Independent or External Form of Study

Course Content

Statistical analysis, also known as inferential statistics, aims to make conclusions which are valid for the entire population starting from a part of the population (a sample).
Since sampling is a random process, a call is to be made on probability theory to allow for generalisation based on the observation of a sample.
The classical one- and two-dimensional tests from statistical analysis (confidence intervals and hypothesis tests concerning the averages, variances, percentages, distribution and independency tests) are elaborated in more detail as well in this course. The most important tests from parametric as well as from non-parametric statistics are discussed.

Course material

Handbook (Required) : Business Statistics, Sharpe, N. R., De Veaux, R. and Velleman, P., 3de Global edition, Pearson Education, 9781292058696, 2015
Practical course material (Required) : Syllabus for Statistiek voor de bedrijfseconomische wetenschappen II - 2020-2021, Vanhaverbeke, L., Canvas
Practical course material (Required) : Formula sheet for Statistiek voor de bedrijfseconomische wetenschappen II, Vanhaverbeke, L., Canvas

Additional info

Not applicable.

Learning Outcomes

General competencies

In the framework of statistics and probability theory to:

bring a large knowledge of the bases of human sciences in the framework of a general education
lead to a critical attitude
initiate to be confident with new scientific knowledge
initiate to independent scientific research
learn to use recent informatic tools in collecting and treating information
learn to understand mechanisms and relations

Upon successful completion of this course, students should have:

a broad knowledge on statistics as a discipline and a deep understanding of the principles of uncertainty and methods to handle uncertainty, as well as the mathematical foundations underlying these statistical methods;
this should allow them as well to apply these methods to solve a variety of decision-making problems in a business context, by identifying the correct statistical approach to tackle the problem, by correctly applying the method as well as interpreting and explaining the results that are obtained;
an understanding of the use of statistical methods for conducting scientific research, across fields of study, and as such a thorough understanding of the scientific approach, which will serve them towards conducting themselves a research project as part of their master thesis project.

Grading

The final grade is composed based on the following categories:
Written Exam determines 75% of the final mark.
Practical Exam determines 25% of the final mark.

Within the Written Exam category, the following assignments need to be completed:

Written Exam with a relative weight of 75 which comprises 75% of the final mark.

Note: closed book for theory, open book for exercises

Within the Practical Exam category, the following assignments need to be completed:

Practical Computer Test with a relative weight of 25 which comprises 25% of the final mark.

Additional info regarding evaluation

To pass this course, the student needs to pass (i.e. obtain at least half the maximum score) for the exam component "obligatory written exam". This condition does not apply to the intermediate tests.

The weights of both components in the final grade is as follows:

25% for the intermediate assignments during the semester (theory and exercises)
75% for the obligatory written exam (theory and exercises)

Written exams are closed-book exams for the theoretical part, open-book for the exercises.

The intermediate tests can only be taken during the semester in first session, not in second second. The grade of the intermediate assignments will be automatically transfered to second session.

Absence for at least one of the obligatory parts of the exams results in absence for the overall examination.

No partial exemptions or partial transfers of marks to the next academic year are given.

Allowed unsatisfactory mark

The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context