Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Statistics II ECON206 Turkish Compulsory 4. Semester 3 + 0 3.0 5.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Theory and problem solving
Course Coordinator Öğr. Gör. Nilay KOYUNCU YEMENİCİ
Instructor(s) Öğr. Gör. Nilay KOYUNCU YEMENİCİ (Bahar)
Goals The course aims to help students to comprehend the plan of the future by using numerical data. The aim of this course is to teach the basic concepts of statistics, descriptive data analysis, sampling, regression and variance analysis
Course Content Sampling Distributions, Confidence Intervals, Hypothesis Testing, Regression
Learning Outcomes
# Öğrenme Kazanımı
1 Students can explain the importance of quantitative analysis tools used in social sciences.
2 Students can generate prudential estimations through historical data using probability theory.
3 Students can apply the process that combines data collection, classification, making charts, analyzing with simple methods and reporting.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Normal Distribution Preparation, After Class Study, Practice
2. Week Sampling Distributions Preparation, After Class Study, Practice
3. Week Sampling Distributions Preparation, After Class Study, Practice
4. Week Confidence Intervals Preparation, After Class Study, Presentation (Preparation)
5. Week Hypothesis Testing Preparation, After Class Study, Practice
6. Week Hypothesis Testing for Mean Preparation, After Class Study, Practice
7. Week Hypothesis Testing for Mean Preparation, After Class Study, Practice
8. Week Midterm Practice
9. Week Hypothesis Testing for Proportion Preparation, After Class Study, Practice
10. Week Hypothesis Testing for Variation Preparation, After Class Study, Practice
11. Week ANOVA
12. Week Chi-Square Test Preparation, After Class Study, Practice
13. Week Regression Preparation, After Class Study, Presentation (Preparation)
14. Week Regression Preparation, After Class Study, Practice
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Know the basic concepts of economics at an advanced level; can abstract the economic decision-making units in households, firms, government agencies, and predict the results of their decision-making mechanisms in different market and competition conditions.
2 Understand the objectives of economies such as growth, employment, productivity, sustainability; may propose solutions to problems such as unemployment, contraction, inflation, high interest rates and similar problems.
3 Capable to make sense of the international interactions of national economies with an international economic perspective.
4 Have knowledge about the historical development of the world economy and its current structure, understand the working process of different economic systems.
5 Can combine economic theory with mathematical, statistical and econometric skills to analyze concrete situations; are experienced in economic data collection and analysis methods by utilyzing technology.
6 Analyze the different sectors of the economy such as agriculture, industry and services through the Production Factors such as Labor, Capital, Natural Resource, Information and Entrepreneurship and evaluate the country economies.
7 Know the current status, historical background, the strengths and weaknesses of Turkish economy in macro and micro scale; can propose solutions, make theoretical and applied studies in this direction as individuals and teams.
8 Know the relations of economics as a social science with other sciences especially with politics, business administration, law, history, mathematics and engineering; reflect the theoretical knowledge in practice and have collaborative working culture.
9 Have the consciousness of lifelong learning, use the education to keep knowledge updated and contribute to the business life.
10 Have the cultural consciousness, know their own history, develop awareness of working with different cultures, respect individual, social and cultural rights.
11 Behave in accordance with ethical values in their works, have the ability of questioning, free thinking with no prejudices.
12 Have the consciousness of fulfilling the given tasks at the right time. In this process, utilize in maximum written, visual, audio sources and information-communication technologies.
13 Have the experience and ability to explain what they learn in written, oral and visual manner.
14 Use the Turkish and English language properly and effectively, and pursue professional readings in double language.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3
PY1 2 2 2
PY2 2 2 2
PY3 1 1 1
PY4 1 1 1
PY5 5 5 5
PY6 2 2 2
PY7 3 3 3
PY8 5 5 5
PY9 3 3 3
PY10 1 1 1
PY11 4 4 4
PY12 3 3 3
PY13 5 5 5
PY14 1 1 1
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Bruce L. Bowerman, Richard T. O’Connell, Emily S. Murphree, James B. Orris, İŞLETME İSTATİSTİĞİNİN TEMELLERİ / Essentials of Business Statistics, 9786051333687
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Midterm 1 20 20
Homework 14 2 28
Homework Preparation 1 7.5 7.5
Final 1 30 30
Classroom Activities 14 3 42
Total Workload 127.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 5.0