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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Statistics BSP110 Compulsory Associate degree 1 Spring 3

Name of Lecturer(s)

Assistant Prof. Dr. Barış AKSU

Learning Outcomes of the Course Unit

1) Use the statistics at daily and business life
2) Collect relevant data about the event by using appropriate technique
3) Present the relevant data with the help of graphics and table
4) Interpret the results obtained by analyzing the period of the current and future
5) Apply the statistical techniques on decisions

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12
Learning Outcomes
1 High High High High High High High No relation No relation No relation No relation No relation
2 High High High High High High High No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 Middle Middle No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation
5 No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

This course includes data collection, editing, and interpretation of this information

Weekly Schedule

1) Definition and Importance of Statistics
2) Basic Concepts
3) Types of Data Collection and Application
4) Statistical series
5) Graphics
6) Averages -I
7) Averages -II
8) Midterm examination/Assessment
9) Measures of Variability
10) Measures of Variability-II
11) Indexes
12) Basic Concepts of Probability
13) Cross-tables and chi-square test
14) Cross-tables and chi-square test
15) Normal probability distribution
16) Final examination

Recommended or Required Reading

1- Yıldız Necati , Akbulut Ömer , Hüdaverdi Bircan, (1999), İstatistiğe Giriş, Aktif Yayınları
2- Serper, Özer (2004), Uygulamalaı İstatistik-1, Bursa: Ezgi Kitabevi
3- Çakır, Filiz (2000), Sosyal Bilimlerde İstatistik, İstanbul: Alfa Yayınları
4- Akın Fehamet, (2002), Sosyal Bilimlerde İstatistik, Bursa: Ekin Kitabevi
5- Yamanet., (1970), Statistics, Harper International
6- Mason R.D., Lind D.A., Marchal W.G., (1999), Statistical Techniques in business and Economics, Boston, McGrawHill.
7- Wonnacott T.H., Wonnacott R.J., (1977), Introductory Statistics for Business and Economics, New York, John Wilwy and Sons
8- Ders notları / Lecture notes
9- Course notes
10- /.

Planned Learning Activities and Teaching Methods

1) Lecture
2) Discussion
3) Group Study
4) Case Study
5) Self Study


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required