6 ECTS credits
150 h study time
Offer 1 with catalog number 1021582BNR 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
- Students who want to enroll for this course, must have passed for ‘Statistics for Business and Economics I' and must have obtained at least 30 ECTS-credits on bachelor level.
- Taught in
- English
- Faculty
- Faculty of Social Sciences & SolvayBusinessSchool
- Department
- Business Technology and Operations
- Educational team
- Lieselot Vanhaverbeke
(course titular)
Jules Antoine Nuyttens
- 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, (same book as used for the course Statistics for Business and Economics I), Sharpe, N. R., De Veaux, R. and Velleman, P., 3rd Global Edition, Pearson Education, 9781292058696, 2015
Practical course material (Required) : Syllabus for Statistics for Business and Economics II - 2020-2021, Vanhaverbeke L., Canvas
Practical course material (Required) : Formula sheet for Statistics for Business and Economics II, Vanhaverbeke L., Canvas
- Additional info
Not applicable.
- Learning Outcomes
-
General competences
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.
Within the Practical Exam category, the following assignments need to be completed:
- Intermediate Tests
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
This offer is part of the following study plans:
Bachelor of Business Economics: Startplan Business Economics
Bachelor of Business Economics: Business and Technology
Bachelor of Business Economics: International Business
Preparatory Programme Master of Science in International Business: Default track
Preparatory Programme Master of Science in Business Engineering: Business and Technology: Default track