Information Package / Course Catalogue
Multivariate Statistics
Course Code: YBS409
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The aim is to reveal and analyse the structure of the mutual relationship between variables.

Course Content

Principal component analysis, factor analysis, multivariate regression analysis.

Name of Lecturer(s)
Learning Outcomes
1.Reviews the vectors and their distributions.
2.Applies multivariate mathematical properties of the economy associated with a normal distribution to business and marketing.
3.Student makes advanced statistics calculations on educational data.
4.Students apply what they have learned in scientific research.
5.Students interpret the results of advanced and multivariate statistical analysis
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Variable Types and Data Matrix
Week 2 - Theoretical
Two and Multivariate Normal Distribution
Week 3 - Theoretical
Correlation Matrices
Week 4 - Theoretical
Data Drawing
Week 5 - Theoretical
Multivariate Normal Distribution Credit Drawing
Week 6 - Theoretical
Eigenvalues, Eigenvectors and Geometric Definitions
Week 7 - Theoretical
Principal Component Analysis (PCA) and Principal Component Analysis of Variance-Covariance Matrix
Week 8 - Theoretical
Principal Component Analysis (PCA) and Principal Component Analysis of Variance-Covariance Matrix
Week 9 - Theoretical
Forecast of Key Components
Week 10 - Theoretical
Objectives and Factor Analysis Factor Analysis of Equations
Week 11 - Theoretical
Appropriate Number of Factors Determining Factor and Rotation
Week 12 - Theoretical
Cost Functions and Predecessor Possibilities
Week 13 - Theoretical
Cost Functions and Predecessor Possibilities
Week 14 - Theoretical
End-of-Term Evaluation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Individual Work142256
Midterm Examination1819
Final Examination114115
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
3
3
3
OÇ-2
3
3
5
OÇ-3
OÇ-4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026