| School/Faculty/Institute |
Faculty of Education |
| Course Code |
MATH 233 |
| Course Title in English |
Statistics I |
| Course Title in Turkish |
Statistics I |
| Language of Instruction |
EN |
| Type of Course |
Flipped Classroom |
| Level of Course |
Intermediate |
| Semester |
Fall |
| Contact Hours per Week |
| Lecture: 2 |
Recitation: |
Lab: 1 |
Other: |
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| Estimated Student Workload |
130 hours per semester |
| Number of Credits |
5 ECTS |
| Grading Mode |
Standard Letter Grade
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| Pre-requisites |
None |
| Expected Prior Knowledge |
None |
| Co-requisites |
None |
| Registration Restrictions |
Only Undergraduate Students |
| Overall Educational Objective |
To learn about descriptive and inferential statistical procedures in order to apply descriptive statistical techniques while interpreting different data sets. |
| Course Description |
This course covers the basic concepts and procedures in descriptive and inferential statistics. The course begins with introducing the scales of measurements, methods for describing and summarizing frequency distributions, the concepts of central tendency, location of scores and standardized distributions followed by methods for hypothesis testing and describing relationships between two (or more) variables. The course then introduces probability theory as a background for understanding inferential statistics. |
| Course Description in Turkish |
Bu ders kapsamında betimsel ve yorumlayıcı istatistiğin temel kavram ve teknikleri incelenmektedir. Ders kapsamında istatistiksel ölçüm dereceleri, sıklık dağılımlarını tanımlamak ve göstermek için kullanılan yöntemler, merkezi eğilim kavramı ve ölçüleri, bireysel puanların dağılımdaki yeri ve standart dağılımlar, hipotezin test edilmesi, iki veya daha fazla değişken arasındaki ilişkinin açılnaması konuları incelenmektedir. Ayrıca, yorumlayıcı istatistiğe bir giriş olarak olasılık teorisi incelenmektedir. |
Course Learning Outcomes and Competences
Upon successful completion of the course, the learner is expected to be able to:
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Relation to Program Outcomes and Competences
| N None |
S Supportive |
H Highly Related |
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Program Outcomes and Competences |
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Assessed by |
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| Prepared by and Date |
MAHMUT KERTİL , June 2018 |
| Course Coordinator |
BENGİ BİRGİLİ |
| Semester |
Fall |
| Name of Instructor |
Dr. Öğr. Üyesi MAHMUT KERTİL |
Course Contents
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| Required/Recommended Readings | Gravetter, F. J. & Wallnau L. B. (2009). Statistics for the Behavioral Sciences (9th ed.). Thomson Learning. (Required) |
| Teaching Methods | Flipped learning, Direct instruction, Group work on some classroom activities, Laboratory work |
| Homework and Projects | Students will be assigned four homework through the whole semester |
| Laboratory Work | Laboratory work will be held once in two weeks. In laboratory work, students are expected to use MsExcel or SPSS in order to apply the statistical concepts that they learned in the course. |
| Computer Use | Computer use is necessary during laboratory work. |
| Other Activities | In-class group works on some problems will be conducted. |
| Assessment Methods |
| Assessment Tools |
Count |
Weight |
| Ödev |
1 |
% 30 |
| Ara Sınavlar |
1 |
% 30 |
| Final |
1 |
% 40 |
| TOTAL |
% 100 |
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| Course Administration |
kertilm@mef.edu.tr
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Office Hours: by appointment |
Bilgi Paketi / Ders Kataloğu