GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MULTIVARIATE STATISTICS I/İST-401
Course Title: MULTIVARIATE STATISTICS I
Credits 4 ECTS 5
Semester 7 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  MULTIVARIATE ST
 -- NAME OF LECTURER(S)
  Prof.Dr.Semra Erbaş
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/~serbas
 -- EMAIL(S) OF LECTURER(S)
  serbas@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students can make a frameforreal life problemsandspecifyconstraintsanddecidewhichmultivaritetechiquesuse.
2) Theyalso can make theoritical studies, comparisons and test hypothesis.
3) Afterthisprocess, thestudents can do applicationsandwritereports of theresultsbySPSSpackageprogramme






 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite fort his course
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course
 --COURSE CONTENT
1. Week  Statistical concepts, Randomvariables, Randomsamplesandestimation
2. Week  IntroductiontoMultivariate Analysis, Multivariatedata, Multivariategraphics
3. Week  MatrixtheoryusedMultivariate Analysis,Determinations, Matrices, quadraticforms, eigenvalueandeigenvectors
4. Week  Multivariate normal distribution, probabilitydensityfunction
5. Week  Distribution of linearcombinations of normal distributedvariables, marginalandconditionaldistributions
6. Week  Regressioncoefficients, partialcorrelationcoefficients, multiplecorrelationcoefficient
7. Week  Problemlemsolutions
8. Week  Mid-term exam
9. Week   Generalized T2Statistics
10. Week  Hotelling T2 test for one sample mean vector
11. Week   Hotelling T2 test forcomparing of twoandmorethantwogroups
12. Week  Comparisons of severalmultivariatemeans (MANOVA)
13. Week  SPSS applications
14. Week  Principal component analysis
15. Week  SPSS applications
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  1.Johnson R. A. ve Wichern D. W., 2002, AppliedMultivariate Stat. Anal.,PrenticeHall. 2.Morrison D. F., 1976, Multivariate Statistical Methods, McGraw-Hill 3.Anderson,T.W.1984, An IntroductiontoMultivariate Statistical Analysis
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  statistical packages programme with Lectures and discussion
 -- WORK PLACEMENT(S)
  no
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
2
10
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
4
56
 Practising Hours of Course Per Week
3
2
6
 Reading
0
 Searching in Internet and Library
2
3
6
 Designing and Applying Materials
4
2
8
 Preparing Reports
0
 Preparing Presentation
4
4
16
 Presentation
4
2
8
 Mid-Term and Studying for Mid-Term
4
2
8
 Final and Studying for Final
4
2
8
 Other
0
 TOTAL WORKLOAD: 
116
 TOTAL WORKLOAD / 25: 
4.64
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X