6 ECTS credits
150 h study time
Offer 1 with catalog number 1011841BNR for all students in the 1st semester
at
a (B) Bachelor - advanced level.
- Semester
- 1st semester
- Enrollment based on exam contract
- Impossible
- Grading method
- Grading (scale from 0 to 20)
- Can retake in second session
- Yes
- Enrollment Requirements
- Students must have followed ‘Introduction to Statistics’ and 'Probability Theory', before they can enroll for ‘Mathematical Statistics’.
- Taught in
- Dutch
- Faculty
- Faculty of Sciences and Bioengineering Sciences
- Department
- Mathematics
- Educational team
- Tetyana Kadankova
(course titular)
- Activities and contact hours
- 26 contact hours Lecture
13 contact hours Seminar, Exercises or Practicals
- Course Content
We consider statistical estimation methods, different types of estimators and their properties. Then we pass to hypothesis testing, regression and analysis of variance. Finally we consider some standard non-parametric tests.
We will use the statistical software SPSS or R to analyze data and to implement the methods from the theory.
- Course material
- Handbook (Recommended) : Mathematical Statistics, Basic Ideas and Selected Topics, Volumes I-II Package, Bickel and Doksum, CRC Press, 9781498740319, 2015
Digital course material (Required) : Syllabus in PDF formaat
- Additional info
The applications of regression and Anova models are performed using the software package R.
- Learning Outcomes
-
General competencies
The student
-knows several statistical methodologies such as a statistical decision problem, parameter estimation, confidence intervals, hypothesis testing, regression and analysis of variance, non-parametric tests.
- can correctly use standard parametric and non-parametric tests (with use of the statistical software R or SPSS );
- can report the correct conclusions based on the statistic test performed in SPSS or R ;
- has critical attitude when applying and interpreting the statistical tests.
- Grading
-
The final grade is composed based on the following categories:
Oral Exam determines 20% of the final mark.
Written Exam determines 80% of the final mark.
Within the Oral Exam category, the following assignments need to be completed:
- examen mondeling
with a relative weight of 100
which comprises 20% of the final mark.
Within the Written Exam category, the following assignments need to be completed:
- examen schriftelijk
with a relative weight of 100
which comprises 80% of the final mark.
- Additional info regarding evaluation
The exam consists of two parts: written and oral.
The written part consists of two questions about the theory (40%) and three exercises (40%).
The oral part consists of 8 short questions about the theory (20%).
- 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 Mathematics and Data Science: Standaard traject (only offered in Dutch)