ECON. AND ADM. SCIENCE
ECONOMICS
Course Name   STATISTICS
Semester Course Code Theoretical / Practice time ECTS
3 0601353 3 / 0 5
Course Degree Bachelor's degree
Course Language Turkish
Format of Delivery: Face to Face
Course Coordinator Assist. Prof. Dr. Burcu GÜVENEK
Coordinator e-mail burcuguvenek selcuk.edu.tr
Instructors
Yrd.Doç.Dr. Burcu GÜVENEK
Asistant Instructors
arş. Gör. Mustafa TEK
Course Objectives To educate students for choosing the right statistical methods in researches and implementing the results correctly and have skills for these directions.
Basic Sciences Engineering Scinces Social Sciences Educational Sciences Artistic sciences Medical Science Agricultural sciences
80 0 20 0 0 0 0
Course Learning Methods and Techniquies
Lectures, question and answer
Week Course Content Resource
1 Statistics and Basic Concepts İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
2 Data, Variable and Levels of Measure İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
3 Making Table and Graphic Methods İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
4 Means İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
5 Variability and and Division Type İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
6 Theory of Probability İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
7 Discontinuous Probability Distribution İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
8 Mid-Term Exam
9 Continuous Probability Distribution İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
10 Sampling Methods İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
11 Statistical Estimate and Hypothesis tests İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
12 Non-parametric tests İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
13 Regression and Correlation İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
14 Time series analyses İstatistik, M.Akif Bakır ve Celal Aydın, Nobel Yayıncılık İşletme ve İktisat İçin İstatistik, Paul Newbold, Literatür Ders Kitapları
15 Question Solution
Assesment Criteria   Mid-term exam Final exam
  Quantity Percentage Quantity Percentage  
Term Studies : - - - -
Attendance / Participation : - - - -
Practical Exam : - - - -
Special Course Exam : - - - -
Quiz : - - - -
Homework : - - - -
Presentations and Seminars : - - - -
Projects : - - - -
Workshop / Laboratory Applications : - - - -
Case studies : - - - -
Field Studies : - - - -
Clinical Studies : - - - -
Other Studies : - - - -
Mid-term exam   1 40 - -
Final exam   - - 1 60
ECTS WORK LOAD TABLE   Number Duration
Course Duration : 14 3
Classroom Work Time : 14 2
Presentations and Seminars : - -
Course Internship : - -
Workshop / Laboratory Applications : - -
Field Studies : - -
Case studies : - -
Projects : - -
Homework : - -
Quiz : - -
Mid-term exam : 1 40
Final Exam : 1 40
ECTS 5
No COURSE LEARNING OUTCOMES CONTRIBUTION
D.Ö.Ç. 1 1. Learn and interpret deive statistics
D.Ö.Ç. 2 2. Learn probability distributions.
D.Ö.Ç. 3 3. Conduct point and interval estimations
D.Ö.Ç. 4 4. Make Statistical inference
D.Ö.Ç. 5 5. Conduct the distribution analysis with excel
D.Ö.Ç. 6 6. Learn the Normal distribution , student's t distribution, Chi-square and F distribution and conduct hypothesis tests using those test statistic
D.Ö.Ç. 7 7. Conduct analysis of variance (ANOVA) tests
D.Ö.Ç. 8 8. Conduct bivariate analysis using correlation
D.Ö.Ç. 9 9. Conduct simple linear regression
D.Ö.Ç. 10 10. Conduct multiple linear regression analysis
* 1: Zayıf - 2: Orta - 3: İyi - 4: Çok İyi
COURSE LEARNING OUTCOMES AND PROGRAM OUTCOMES AND RELATIONSHIPS MATRIX

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