Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
ZT622CORRELATION AND REGRESSION ANALYSISCompulsory126
Level of Course Unit
Second Cycle
Objectives of the Course
Learning of basic statistical tests with computer applications
Name of Lecturer(s)
Assist.Prof.Dr.Yeliz KAŞKO ARICI
Learning Outcomes
1Ability to understand and apply basic statistical methods
2Analyze data with popular statistical software package
3To interpret the results of statistical analysis
Mode of Delivery
Formal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Introduction to statistics, Basic principle of statistics, Collection of data, Type of data and summarizing, Descriptive statistics, Graphs, Relationship between two variables (correlation analysis and regression analysis), Hypothesis testing (Z-test, t-test), Basic concepts of experimental design, Analysis of variance technique (ANOVA), Multiple comparison tests, Chi-square tests , Computer applications with statistical package programs (Minitab, SPSS).
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1The importance of statistics, Fundamentals of statistics, Type of data, Minitab, SPSS
2Descriptive statisticsproblem solving and computer applications
3Statistical distributions, Probability
4Testing of hypothesis
5Z-testsproblem solving and computer applications
6t-testproblem solving and computer applications
7Paired t-testproblem solving and computer applications
8Graphicscomputer applications
9Midterm Exam
10Basic concepts of experimental design
11 ANOVA, The assumptions of ANOVAproblem solving and computer applications
12 Multiple comparison testsproblem solving and computer applications
13Correlation analysis problem solving and computer applications
14Regression analysisproblem solving and computer applications
15Chi-Square- testsproblem solving and computer applications
16Final Exam
Recommended or Required Reading
Kocabaş, Z., Özkan, M. Ve Başpınar, E., 2013. Temel Biyometri. Ankara Üniversitesi Ziraat Fakültesi Yayınları, Yayın No:1606, Ankara. Mendeş, M., 2012, Uygulamalı Bilimler İçin İstatistik ve Araştırma Yöntemleri. Kriter Yayınları, İstanbul. Sokal R. R. and Rohlf F. J., 1995. Biometry (Third Edition). W. H. Freeman and Company, New York, USA.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
Yarıyıl (Yıl) İçi Etkinlikleri40
Yarıyıl (Yıl) Sonu Etkinlikleri60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination133
Final Examination133
Makeup Examination133
Quiz818
Practice14228
Laboratory14228
Problem Solving14114
Individual Study for Homework Problems14342
Individual Study for Mid term Examination8216
Individual Study for Final Examination14228
TOTAL WORKLOAD (hours)173
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
LO134    2
LO234    2
LO334    2
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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