Information Package / Course Catalogue
Statistics
Course Code: İŞY152
Course Type: Required
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

The aim of this course is to teach the methods and principles of identifying, analyzing, summarizing, interpreting, making inferences from, and predicting numerical data using scientific methods.

Course Content

To introduce students to the fundamental concepts of statistics and basic statistical methods.

Name of Lecturer(s)
Learning Outcomes
1.Calculate and interpret basic statistical descriptive data.
2.Distinguish the difference between real and nominal variables.
3.Calculates parametric measures of dispersion such as arithmetic mean and variance to determine the central tendency and dispersion characteristics of data sets
4.Transforms collected raw data into meaningful statistical series and visualizes these series using appropriate graph types.
5.Analyzes the direction and degree of relationships between variables using correlation, regression, and trend analysis methods, and interprets the results
Recommended or Required Reading
1.Öğr. Gör. Eklem Yıldız, Statistics for Banking, Finance and Commercial Transactions, Seçkin Publishing House
2.Statistics 1, Dr. Mahmut Atlas, Assistant Professor, Eskişehir: Nisan Kitapevi Publications
3.Statistics, Eskişehir: AÖF Publications (978-975-06-1289-3)
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Statistics, History of Statistics
Week 1 - Preparation Work
Conduct research on the topic
Week 2 - Theoretical
Organizing Data
Week 2 - Preparation Work
Konu ile ilgili araştırma yapma, Conduct research on the topic
Week 3 - Theoretical
Measurement of variables
Week 3 - Preparation Work
Conduct research on the topic
Week 4 - Theoretical
Statistical series
Week 4 - Preparation Work
Conduct research on the topic
Week 5 - Theoretical
Statistical series
Week 5 - Preparation Work
Conduct research on the topic
Week 6 - Theoretical
Statistical graphs
Week 6 - Preparation Work
Conduct research on the topic
Week 7 - Theoretical
Parametric Measures of Dispersion
Week 7 - Preparation Work
Conduct research on the topic
Week 8 - Theoretical
Parametric Measures of Dispersion
Week 8 - Preparation Work
Conduct research on the topic
Week 9 - Theoretical
Parametric Measures of Dispersion
Week 9 - Preparation Work
Conduct research on the topic
Week 10 - Theoretical
Nonparametric Measures of Dispersion
Week 10 - Preparation Work
Conduct research on the topic
Week 11 - Theoretical
Nonparametric Measures of Dispersion
Week 11 - Preparation Work
Conduct research on the topic
Week 12 - Theoretical
Nonparametric Measures of Dispersion
Week 12 - Preparation Work
Conduct research on the topic
Week 13 - Theoretical
Regression, trend and correlation
Week 13 - Preparation Work
Conduct research on the topic
Week 14 - Theoretical
Regression, trend and correlation
Week 14 - Preparation Work
Conduct research on the topic
Week 15 - Preparation Work
Week 16 - Preparation Work
Week 17 - Preparation Work
Week 18 - Preparation Work
Week 19 - Preparation Work
Week 20 - Preparation Work
Week 21 - Preparation Work
Week 22 - Preparation Work
Week 23 - Preparation Work
Week 24 - Preparation Work
Week 25 - Preparation Work
Week 26 - Preparation Work
Week 27 - Preparation Work
Week 28 - Preparation Work
Week 29 - Preparation Work
Week 30 - Preparation Work
Week 31 - Preparation Work
Week 32 - Preparation Work
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140235
Assignment1303
Quiz1505
Midterm Examination110010
Final Examination120121
TOTAL WORKLOAD (hours)74
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
3
2
3
4
4
OÇ-2
2
1
2
4
3
OÇ-3
3
2
3
5
4
OÇ-4
3
4
3
1
4
4
OÇ-5
4
3
4
1
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026