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Bachelor's Degree
Labour Economics And Industrial Relations
Course Structure Diagram with Credits
Statistics2 Course Details
Course Information  

Course Title  Code  Semester  T + P  ECTS 
Statistics2  EKN208  4  3 + 0  4 
Prerequisites  None 
Language  Turkish 
Level  Bachelor's Degree 
Type  Compulsory 
Coordinator  Assist.Prof. Caner ÖZDEMİR 
Instructors  Assoc.Prof. EMRAH İSMAİL ÇEVİK 
Goals  In this course, sampling theory, sampling distributions and Central Limit Theory, statistical inference and estimation, statistical inference and hypothesis testing, chisquare tests, simple linear correlation and regression analysis, and time series analysis are thought. 
Contents  Sampling and Basic Concepts, Sampling Methods, Sampling Distributions, Statistical Inference, Hypothesis Tests, Chisquare Tests, Simple Linear Correlation, Regression Analysis, and Time Series Analysis. 
Work Placement(s)  Absent 
Number  Learning Outcomes 
1  Understand basic concepts, methods and techniques of sampling theory, sampling distributions, statistical estimation, hypothesis testing, correlation and regression analysis, index numbers and time series analysis. 
2  Calculate and interpret point and interval estimates of most important population parameters. 
3  Choose most appropriate hypothesis tests among from parametric and nonparametric hypothesis tests. Investigate and interpret the claims about single population parameters. 
4  Compute and interpret correlation coefficients among nominal, ordinal, interval and ratio scale variables. 
5  Analyze and interpret the relationship between one dependent and one independent variable using simple linear regression analysis. 
Mode of Delivery  FacetoFace 
Planned Learning Activities & Teaching Methods  Face to face 
Assessment Methods  Midterm Exam: 40% Final Exam: 60% 
Course Content  

Week  Topics  Study Materials 
1  Sampling and Key Concepts, Sampling Error, The Purposes of Sampling, Reasons for Sampling and the Sampling Design Process.  Serper, Ö. (2010) 
2  Sampling Methods: Nonrandom Sampling Methods (Convenience Sampling Method, Judgmental Sampling Method, Quota Sampling Method and Snowball Sampling Method).  Serper, Ö. (2010) 
3  Sampling Methods: Random Sampling Methods (Simple Random Sampling Method, Cluster Sampling Method, Systematic Sampling Method and Stratified Sampling Method). Choosing Among from Nonprobability and Probability Sampling Methods, Uses of Nonprobability and Probability Sampling.  Serper, Ö. (2010) 
4  Sampling Distributions: The Sampling Distribution of the Arithmetic Mean, the Sampling Distribution of the Sample Proportion, the Sampling Distribution of the Sample Variance, the Sampling Distributions and Central Limit Theorem (CLT).  Serper, Ö. (2010) 
5  Statistical Estimation: Key Concepts, Point and Interval Estimation, the Properties of Point and Interval Estimation, Point and Interval Estimates of Population Mean, Point and Interval Estimates of Population Proportion, Point and Interval Estimates of Population Variance and Standard Deviation, Sample Size and Estimation Error.  Serper, Ö. (2010) 
6  Hypothesis Testing: Concepts of Hypothesis Testing, Classification of Hypothesis Testing, Basic Steps in Hypothesis Testing, Errors in Hypothesis Testing (Type I and Type II Error) and Confidence Interval, Significance Level and Power of the Test, pValue and Hypothesis Testing.  Serper, Ö. (2010) 
7  Hypothesis Testing: Hypothesis Tests About a Single Population Mean, Hypothesis Tests About a Single Population Proportion and Hypothesis Tests About a Single Population Variance and Standard Deviation.  Serper, Ö. (2010) 
8  Midterm Exam  
9  ChiSquare Tests: ChiSquare Independence Test, ChiSquare Homogeneity Tests, ChiSquare GoodnessofFit Tests and ChiSquare Based Nonparametric Correlation Coefficients: The Computation and Interpretation of Phi, Cramer’s V and Contingency Coefficient Statistics.  Serper, Ö. (2010) 
10  Simple Linear Covariance and Correlation Analysis: Key Concepts and Technical Details, Assumptions, and Interpretation, Pitfalls and Limitations Associated with Correlation Analysis.  Serper, Ö. (2010) 
11  Regression Analysis: Basic Concepts and Technical Details, The Scatter Diagram, The Least Squares Technique, Objective and Assumptions of Regression Analysis, Standard Error of Estimate, The Coefficient of Determination and The Coefficient of Correlation, Pitfalls and Limitations Associated with Regression Analysis.  Serper, Ö. (2010) 
12  Regression Analysis: The Coefficient of Determination and The Coefficient of Correlation, Pitfalls and Limitations Associated with Regression Analysis.  Serper, Ö. (2010) 
13  Time Series Analysis and Key Concepts, Reasons for Analyzing Time Series, Misleading Factors and Principle Factor Effects Times Series, A Model Building Strategy in Time Series Analysis, Moving Average Methods.  Serper, Ö. (2010) 
14  Components of Time Series, Time Series Models, The Composition Method of Time Series and Applications.  Serper, Ö. (2010) 
15  Final Exam  

Sources  

Textbook  Serper, Ö. (2010), Uygulamalı İstatistik, Ezgi Kitabevi, Bursa. 
Additional Resources  Özsoy, O. (2005), İktisatçılar ve İşletmeciler için İstatistik, Ankara:Siyasal Kitabevi. Özkan, Y. (2003), Uygulamalı İstatistik, Sakarya Kitabevi.. Gürsakal, N.(1999), Bilgisayar Uygulamalı İstatistik I, Bilgisayar Uygulamalı İstatistik II, İstanbul: Alfa. Der,A Handbook of Statistical Analyses using SAS (2002), Wahington: Chapman &Hall/CRC. Köseoğlu, M. ve Yamak, R. (2009), Uygulamalı İstatistik, Celepler Matbaacılık, Trabzon, M. (2006),Uygulamalı İstatistik ve Ekonometri SORU BANKASI (KPSS, AÖ, Müfettişlik, Uzmanlık, Bankacılık ve Meslek Sınavlarına Hazırlık), Trabzon: Aksakal Kitap Kırtasiye.. Tekin, M., Çağlayan, E.(2003), Excel ile Temel Ekonometri, İstanbul: Der Yayınları. 
Assessment System  Quantity  Percentage 

InTerm Studies  
Midterms  1  100 
InTerm Total  1  100 
Contribution of InTerm Studies to Overall  40  
Contribution of Final Exam to Overall  60  
Total  100 
Course's Contribution to PLO  

No  Key Learning Outcomes  Level  
1  2  3  4  5  
1  Have advanced knowledge in the field of working life  x  
2  Information in the field of working life has the ability to transfer employees and colleagues.  x  
3  The decision on the application and the behavior of his working life to interpret the information acquired through the use of the data, to analyze, to bring the has the ability to define problems and solutions.  x  
4  Do research and work on issues related to working life.  x  
5  The project meets the objectives of the Project Coordinator or the participant takes responsibility.  x  
6  Organization / Institution determines the objectives.  x  
7  Employeeemployer relations, critically evaluates the acquired knowledge and skills.  x  
8  Indicates that the comprehension of the need for continuity of learning  x  
9  The level of knowledge and skills related to the field of Labor Economics thoughts and pass the written and oral proposals concerned.  x  
10  Effective stake holders in the field of professional communication.  x  
11  Working relationships required by the European Computer Driving Licence Advanced Level at least with computer software uses information and communication technologies.  
12  At least one foreign language knowledge in the field using the European Language Portfolio B1 General level monitors and communicates with colleagues.  
13  Employeeemployer relations, the organization / institution, business, and act in accordance with social ethics.  
14  Analyze and executes effective working relationships within the organization.  
15  Has the ability to be able to encourage innovations in working life.  
16  Working relationships to the organization / institution for the critical thinker.  
17  Social rights, social justice, quality and cultural values, environmental protection, occupational health and safety issues are conscious. 
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION  

Activities  Quantity  Duration (Hour)  Total Work Load (h) 
Course Duration  15  3  45 
Hours for offtheclassroom study (Prestudy, practice)  14  2  28 
Midterms  1  20  20 
Final examination  1  30  30 
Total Work Load (h)  123  
Total Work Load / 30 (h)  4.1  
ECTS Credit of the Course  4 