Course Information
Course Title Code Semester T + P ECTS
Statistics-1 EKN207 3 3 + 0 4

Prerequisites None

Language Turkish
Level Bachelor's Degree
Type Compulsory
Coordinator Assist.Prof. Caner ÖZDEMİR
Instructors Assist.Prof. Caner ÖZDEMİR
Goals This course that can be considered an introduction to statistics aims to teach descriptive statistics that are used in their application and probability and probability distributions forms that are based on various statistical methods. Also, this course helps to understand and interpret quantitative data and meaning of the numbers for the students.
Contents This course contains basic statistical terms, collecting and organizing data, descriptive statistics, probability and probability distributions topics and considers application of these techniques in economics, business and management.
Work Placement(s) Absent

Number Learning Outcomes
1 Define basic statistical concepts.
2 Organize business data using appropriate statistical tools (statistical series, graphs and tables).
3 Summarize and interpret statistical series by choosing most appropriate descriptive statistical measures.
4 Express basic probability concepts and rules and apply probability rules to real case problems accurately.
5 Choose most appropriate probability distribution among from most widely used probability distributions and apply them to real cases.

Mode of Delivery Face-to-Face
Planned Learning Activities & Teaching Methods Face to face
Assessment Methods Midterm Exam: 40% Final Exam: 60%



Course Content
Week Topics Study Materials
1 Introduction to Statistics: the importance of statistics in managerial decision-making process, key statistical concepts, statistics and computational technologies, big data. None
2 Basic statistical concepts, population and sample, parameter and statistic, variables and levels of measurement Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi. pp. 134-140. Büyüköztürk, Ş., Çokluk, Ö., & Köklü, N. (2015). Sosyal bilimler için istatistik. Ankara: Pegem Akademi.pp.1-14.
3 Sampling, sampling frame, sampling techniques, sampling size and sampling error Altunışık, R., Coşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2005). Sosyal bilimlerde araştırma yöntemleri: SPSS uygulamalı. Sakarya: Sakarya Kitabevi. pp.121-136. İslamoğlu, A. H., & Alnıaçık, Ü. (2014). Sosyal Bilimlerde Araştırma Yöntemleri. İstanbul: Beta. pp.185-206.
4 Frequency distributions, tables and graphs Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi. pp. 141-220. Çil, B. (2000). İstatistik. Ankara: Detay Yayıncılık. pp.20-41.
5 SPSS Applications None
6 Midterm Exam N/A
7 Measures of Central Tendency. Mean, median and mode. Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi. pp. 222-268. Çil, B. (2000). İstatistik. Ankara: Detay Yayıncılık. pp.42-72.
8 Measures of Dispersion. Range, standard deviation, variance. Skewness and kurtosis. Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi. pp. 269-309. Çil, B. (2000). İstatistik. Ankara: Detay Yayıncılık. pp.73-98.
9 SPSS Applications None
10 Probability: probability postulates, probability rules, statistical independence, Bayes' theorem. Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi. pp. 310-335. Newbold, P. (2009). İşletme ve iktisat için istatistik. (Ü. Şenesen, Çeviri). İstanbul: Literatür Yayınları. pp.81-138.
11 Probability Distributions: discrete distributions, continuous distributions, binomial distribution, normal distribution and standard normal distribution, central limit theorem Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi. pp. 337-392. Newbold, P. (2009). İşletme ve iktisat için istatistik. (Ü. Şenesen, Çeviri). İstanbul: Literatür Yayınları. pp.139-241.
12 z and t distributions: standard normal distribution and standard normal scores, calculation of z and t statistics, z and t tables. Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi. pp. 422-447. Newbold, P. (2009). İşletme ve iktisat için istatistik. (Ü. Şenesen, Çeviri). İstanbul: Literatür Yayınları. pp.283-358.
13 Statistical estimation: point estimation, interval estimation, confidence intervals Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi. pp. 393-447. Newbold, P. (2009). İşletme ve iktisat için istatistik. (Ü. Şenesen, Çeviri). İstanbul: Literatür Yayınları. pp.283-358.
14 SPSS applications None
15 Final Exam



Sources
Textbook Baykul, Y., & Güzeller, C. O. (2014). Sosyal bilimler için istatistik: SPSS uygulamalı. Ankara: Pegem Akademi.
Additional Resources Çil, B. (2000). İstatistik. Ankara: Detay Yayıncılık. Newbold, P. (2009). İşletme ve iktisat için istatistik. (Ü. Şenesen, Çevir.). İstanbul: Literatür Yayınları. Büyüköztürk, Ş., Çokluk, Ö., & Köklü, N. (2015). Sosyal bilimler için istatistik. Ankara: Pegem Akademi.



Assessment System Quantity Percentage
In-Term Studies
Mid-terms 1 100
In-Term Total 1 100
Contribution of In-Term 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 Employee-employer 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. x
12 At least one foreign language knowledge in the field using the European Language Portfolio B1 General level monitors and communicates with colleagues.
13 Employee-employer 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 off-the-classroom study (Pre-study, practice) 14 2 28
Mid-terms 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