BAYBURT University Information Package / Course Catalogue

Home Information on the Institution Information on Degree Programmes General Information for Students
Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
PD210Statistics IICompulsory244
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this course is to emphasize the advanced concepts, advanced statistic accounts on educational data.
Name of Lecturer(s)
Learning Outcomes
1Students shall describe advanced concepts of statistics.
2Students shall conduct the regression equation, interpret the regression equation.
3Students shall list the steps of hypothesis tests and know t-test and ANOVA.
4Students shall decide which statistical test is used for the related research design.
5Students shall reject/ not reject the null hypothesis according to results of statistical test.
Mode of Delivery
Second Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Research methods and techniques, regression and analysis of variance techniques, significance of parametric tests.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1 Introduction
2 Basic Statistic Accounts On Educational Data
3Concepts Of Measurement in The Social Sciences
4Qualitative And Quantitative Researches
5Qualitative And Quantitative Researches
6 t-test ,
7Midterm Exam
8Non Parametric Tests
9Correlation
10Regression
11Hypothesis Testing
12Parametric Tests Of Significance
13ANOVA
14General Revision
15
16
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination150
Quiz220
Homework130
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination11010
Final Examination12020
Quiz21020
Attending Lectures16348
Homework11010
TOTAL WORKLOAD (hours)108
Contribution of Learning Outcomes to Programme Outcomes
PO
1		PO
2		PO
3		PO
4		PO
5		PO
6		PO
7		PO
8		PO
9		PO
10		PO
11		PO
12		PO
13		PO
14		PO
15
LO1               
LO2               
LO3               
LO4               
LO5               
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High