# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MULTIVARIATE STATISTICS I/İST4001
 Course Title: MULTIVARIATE STATISTICS I Credits 4 ECTS 5 Course Semester 7 Type of The Course Compulsory
COURSE INFORMATION
-- (CATALOG CONTENT)
-- (TEXTBOOK)
-- (SUPPLEMENTARY TEXTBOOK)
-- (PREREQUISITES AND CO-REQUISITES)
-- LANGUAGE OF INSTRUCTION
Turkish
-- COURSE OBJECTIVES
-- COURSE LEARNING OUTCOMES
Student describes general framework of multivariate statistical problem and decides which multivariate statistical analysis s/he will use
Student studies on theoretical investigation, comparison, test
Student solves the problem with the help of SPSS and makes comments and makes reports on the results

-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week Statistical concepts, random variable, random sample and estimation 2. Week Introduction to multivariate statistics, Multivariate data, multivariate graphs 3. Week Matrix theory in multivariate statistical analysis, determinants, matrices, quadratic forms, eigenvalues and eigenvectors 4. Week Multivariate normal distribution, probability density function 5. Week Distributions of linear combinations of variables which have Normal distribution, marginal distributions, conditional normal distributions 6. Week Regression coefficients, partial correlation coefficients 7. Week Multiple correlation coefficient 8. Week Generalized T2 statistic and properties, Mid-term exam 9. Week Hotelling T2 test for one group mean vector 10. Week Hotelling T2 test for comparison of two and more groups mean vectors 11. Week Multivariate variance analaysis (MANOVA) 12. Week SPSS applications 13. Week Factor analysis 14. Week SPSS applications 15. Week Final exam 16. Week -
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 40 Assignment 2 10 Application 0 0 Projects 0 0 Practice 0 0 Quiz 0 0 Percent of In-term Studies 50 Percentage of Final Exam to Total Score 50