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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 320STATISTICAL METHODS FOR SOCIAL SCIENCE3 + 08th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to explore the topics of Modelling, Correlation Analysis, Analysis of Variance, Cross Tables, comparison of two or more populations in terms of interested property, basic statistics, data sources of national and other nations for social sciences
Course Content 1. data sources of national and other nations 2. Statistical Package Programs and Softwares 3. Basic Statistics 4. comparison of two or more populations in terms of interested property 5. Cross Tables, 6. Correlation Analysis 7. Analysis of Variance 8. Modelling
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1to get information about data sources of Social and Economics
2to get information about statistical packages and softwares
3To be able to calculate and interpret of basic statistics
4to be able to compare two or more populations in terms of interested properties.
5To be able to analyze relations
6To have information about modelling
1to get information about data sources of Social and Economics
2to get information about statistical packages and softwares
3To be able to calculate and interpret of basic statistics
4to be able to compare two or more populations in terms of interested properties.
5To be able to analyze relations
6To have information about modelling

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06
LO 001      
LO 002      
LO 003      
LO 004      
LO 005      
LO 006      
Sub Total      
Contribution000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14798
Hours for off-the-classroom study (Pre-study, practice)14114
Mid-terms144
Final examination11414
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Spring1ANDIM OBEN BALCE
Details 2018-2019 Spring1ANDIM OBEN BALCE


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 320 STATISTICAL METHODS FOR SOCIAL SCIENCE 3 + 0 1 Turkish 2019-2020 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. ANDIM OBEN BALCE abalce@pau.edu.tr İİBF C0204 %70
Goals The aim of this course is to explore the topics of Modelling, Correlation Analysis, Analysis of Variance, Cross Tables, comparison of two or more populations in terms of interested property, basic statistics, data sources of national and other nations for social sciences
Content 1. data sources of national and other nations 2. Statistical Package Programs and Softwares 3. Basic Statistics 4. comparison of two or more populations in terms of interested property 5. Cross Tables, 6. Correlation Analysis 7. Analysis of Variance 8. Modelling
Topics
WeeksTopics
1 Basic Definitions and Concepts
2 Basic Descriptive Statistics, Data Definitions, Statistical Softwares
3 Data Sources, Data Manipulation, Basic Statistics, Graphs
4 Hypothesis Test and Confidence Intervals for Mean and Variance in The Single Sample
5 Hypothesis Test and Confidence Intervals for Means and Variances in The Paired Two Samples
6 Hypothesis Test and Confidence Intervals for Means and Variances in The Independent Two Samples
7 Analysis of Variance
8 Midterm
9 Cross Tables, Chi Square test
10 Cross Tables, Chi Square test
11 Correlation Analysis
12 Regression Analysis
13 Regression Analysis
14 Review
Materials
Materials are not specified.
Resources
ResourcesResources Language
Statistical Methods, George W Snedecor, William Cochran, Iowa State Press, IA USAEnglish
Applied Linear Statistical Methods, Neter and others, IRWIN poress, USAEnglish
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes