Multivariate Statistics (B-KUL-D0M62C)
Aims
Upon completion of this course, the students must be able
* to identify the most appropriate multivariate technique for a given statistical problem
* to analyze the data with the corresponding procedure in the statistical software R
* to interpret the output of the statistical software R correctly
* to formulate accurately the conclusions of the statistical analysis
* show that the methods are understood well
Previous knowledge
Basic knowledge of statistics (hypothesis testing, regression analysis) is required.
Identical courses
This course is identical to the following courses:
D0M62Z : Multivariate Statistics (BL)
Is included in these courses of study
- Doctoral Programme in Business Economics (Leuven)
- Master in de statistiek (Leuven) 120 ects.
- Master handelsingenieur (Leuven) 120 ects.
- Master handelsingenieur (Leuven) (Major: Kwantitatieve methoden) 120 ects.
- Master handelsingenieur (Leuven) (Minor: Kwantitatieve methoden) 120 ects.
- Master handelsingenieur in de beleidsinformatica (Leuven) 120 ects.
- Master handelsingenieur in de beleidsinformatica (Leuven) (Minor: Data science) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (European Master of Official Statistics (EMOS)) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Interdisciplinary Statistics and Data Science (No new enrollments for this track as from academic year 2024-2025)) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Biometrics) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Business) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Industry) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Social, Behavioral and Educational Sciences) 120 ects.
- Master of Statistics and Data Science (on campus) (Leuven) (Theoretical Statistics and Data Science) 120 ects.
- Master of Business Engineering (Leuven) 120 ects.
- Master of Business Engineering (Leuven) (Major: Quantitative Methods for Decision Making) 120 ects.
- Master of Business Engineering (Leuven) (Minor: Quantitative Methods for Decision Making) 120 ects.
- Master handelsingenieur: bidiplomering UCLouvain (inkomend) (Leuven e.a.) (Opleidingsonderdelen KU Leuven: Major: Kwantitatieve methoden) 126 ects.
- Master of Business Engineering: Double Degree UCLouvain (incoming) (Leuven et al) (Courses KU Leuven: Major: Quantitative Methods for Decision Making) 126 ects.
- Master of Business Engineering: Double Degree UCLouvain (outgoing) (Leuven et al) (Courses KU Leuven: Major: Quantitative Methods for Decision Making) 127 ects.
- Master of Business and Information Systems Engineering (Leuven) 120 ects.
- Master of Business and Information Systems Engineering (Leuven) (Minor: Data Science) 120 ects.
- Master of Actuarial and Financial Engineering (Leuven) 120 ects.
- Educatieve master in de economie (Leuven) 90 ects.
- Courses for Exchange Students Faculty of Economics and Business (Leuven)
- Master of Management Engineering (Brussels) 120 ects.
- Master of Management Engineering (Brussels) (Major Quantitative Methods for Decision Making) 120 ects.
Activities
6 ects. Multivariate Statistics (B-KUL-D0M62a)
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Content
Introduction
Principal component analysis
Factor analysis
Confirmatory factor analysis
Structural equation models
Cluster analysis
Discriminant analysis
Multivariate analysis of variance
Canonical correlation
Multidimensional scaling
Correspondence analysis
Course material
The obligatory study material consists of slides that will be available on Toledo. Additional course material will also be available on Toledo.
Format: more information
The course uses a blended learning format including web lectures and interactive question and answer sessions.
Evaluation
Evaluation: Multivariate Statistics (B-KUL-D2M62c)
Explanation
FEATURES OF THE EVALUATION
The evaluation is partly based on an individual written open book exam in the exam period and partly on the grade obtained for two group assignments.
Students will make two group assignments during the semester. Each assignment is made by the same team of 4 students. Students will analyze some datasets using the statistical software R and write a report about the results of the analyses. Datasets are provided by the lecturer. The deadline for handing in the reports of the assignments will be determined by the lecturer and communicated via Toledo.
DETERMINATION OF FINAL GRADES
- The grades are determined by the lecturer, in line with the examination regulations and as communicated via Toledo. The result is calculated and communicated as a whole number on a scale of 20.
- The exam can contain multiple choice questions. For multiple-choice questions, a correction for incorrect answers is applied. Details will be explained during lectures and on Toledo.
- The final grade for the course is obtained as follows: The written open book exam counts for 75% of the grade. The submitted reports for the assignments count for the remaining 25% of the grade. If the set deadline for handing in the report of an assignment was not respected, the grade for that respective part will be a 0-grade in the final grade, unless the student asked the lecturer to arrange a new deadline. This request needs to be motivated by grave circumstances. If the student does not participate in one of the assignments, the grade for that respective part will be a 0-grade in the final grade. If the student does not participate in the written exam the final grade of the course will be NA (not attended).
More specific information about the exam will be available on Toledo.
Information about retaking exams
FEATURES OF THE EVALUATION
The features of the evaluation and/or the determination of grades differ between the first and second examination opportunity.
The evaluation is partly based on an individual written open book exam and partly on the grade obtained for the two group assignments. Due to the nature of the assignments, the grade attained for the assignments at the first examination opportunity will be transferred to the second examination opportunity.
DETERMINATION OF FINAL GRADES
- The grades are determined by the lecturer, in line with the examination regulations and as communicated via Toledo. The result is calculated and communicated as a whole number on a scale of 20.
- The exam can contain multiple choice questions. For multiple-choice questions, a correction for incorrect answers is applied. Details will be explained during lectures and on Toledo.
- The final grade for the course is obtained as follows: The written open book exam counts for 75% of the grade. The grade obtained for the assignments at the first examination opportunity will count for the remaining 25% of the grade. If the student does not participate in the written exam the final grade of the course will be NA (not attended).
More specific information about the exam will be available on Toledo.