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Duration
Identical coursesStatistics for Business (S) (B-KUL-Y00266)
Aims
This course evaluates the following learning outcomes:
The student
5.a Uses static and dynamic models, graphically and algebraically, to analyse and solve (business) economic problems.
5.b Uses descriptive and inferential statistical methods and techniques to solve (business) economic problems.
5.c Studies and interprets associations between variables using linear regression techniques.
6.c In line with the given practical relevance and the definition of the (business) economics problem, chooses and uses the appropriate techniques to acquire, analyse and interpret data.
6.e From qualitative and quantitative research findings, draws scientific conclusions that bear practical relevance.
Previous knowledge
There is no spcific preknowledge required for this course.
Identical courses
This course is identical to the following courses:
HSH89A : Statistics for Business
HSA10A : Statistics for Business (B)
HTH85A : Statistics for Business
Is included in these courses of study
Activities
6 ects. Statistics for Business (S) (B-KUL-Y50234)
Content
This course offers an overview of all relevant, statistical topics from the course Introduction to Statistics (BA1) and the course Statistics (BA2).
In particular attention is paid to the following:
- descriptive criteria for describing a variable
- descriptive criteria for describing relations between two and three variables
- continuous and discrete distributions
- the central limit theorem and the law of large numbers
- characteristics of estimations
- confidence intervals and hypothesis testing (including Chi ² and non-parameter)
- time series analysis
- the (non) linear regression model
Course material
Compulsory Course material
Course materials are made available online (explanation is provided during the first lecture). The following texbook is required:
Wessa, P. (2022) "Statistical Analytics for Small and Big Data", Big Analytics Ltd, 6th edition
Recommended Course Material
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Format: more information
The lectures are based on the handbook and illustrations from recent research projects. You can ask questions through the learning platform RFC which accompanies the handbook.
The handbook contains numerous examples and exercises with detailed solutions. The learning platform RFC is based on reproducible computing -- therefore, all the computations that are presented in the handbook can be reproduced and re-used without the need to download and install any software.
Evaluation
Evaluation: Statistics for Business (S) (B-KUL-Y70266)
Explanation
Features of the evaluation
Determination of final grades
The result is calculated and expressed as an integer out of 20.
Second examination opportunity
The features of the evaluation and determination of grades are identical to those of the first examination opportunity, as described above.
Information about retaking exams
There is no permanent evaluation during the 3rd examination period. The final grade consists of a paper score (50%) and a score for the computer-based exam (50%).