Information Package / Course Catalogue
Applied Statistics I
Course Code: ZT201
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

Provide the student with the fundamental statistical knowledge and toolbase to perform statistical data analysis

Course Content

Theoretical and applied statistics, statistical term and notations, descriptive statistics (mean, mode, median, variance, standard deviation), statistical distributions, sampling distribution of statistics, hypothesis testing, correlations and simple regression analysis and analysis of variance

Name of Lecturer(s)
Prof. Kadir KIZILKAYA
Learning Outcomes
1.Learning about Statistics and relationships between statistics and other departments
2.Earning fundamental knowledge about application of statistics
3.Learning how to use at least one statistical package
4.Learning how to collect, organize and analyze data
5.Learning how to interpret statistical results
6.Earning the ability of decision making for future based on the statistical results
7.Earning the ability to use statistical experiences in others areas
Recommended or Required Reading
1.Prof. Dr. Kadir KIZILKAYA Applied Statistics and R-Programming Lecture Notes
2.Kocabaş, Z., Özkan, M.M. ve Başpınar, E. 2013. Temel Biyometri. Ankara Üniversitesi Ziraat Fakültesi Yayın No: 1606, Ders Kitabı: 558. Ankara Üniversitesi Basımevi, Ankara. ISBN: 978-605-136-077-5
3.Kesici, T., Kocabaş, Z. 1998. Biyoistatistik. Ankara Üni. Eczacılık Fak. Yayın No: 79.
4.Yüzer, A.F., Ağaoğlu, E., Tatlıdil, H., Özmen, A., Şıklar, E. 2004. İstatistik. Anadolu Üni. Açıköğretim Fak. Yayın No: 771.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Introduction to Statistics and Introduction to R-Program
Week 2 - Theoretical & Practice
Statistics data types and data types in R-Program
Week 3 - Theoretical & Practice
Graphs used in statistics and applications in R-Program
Week 4 - Theoretical & Practice
Descriptive Statistics (measures of central tendency) and Applications in R-Program
Week 5 - Theoretical & Practice
Descriptive Statistics (measures of dispersion) and Applications in R-Program
Week 6 - Theoretical & Practice
Applications in Probability and R-Program
Week 7 - Theoretical & Practice
Discrete Variables and probability distributions (Midterm Exam)
Week 8 - Theoretical & Practice
Continuous Variables and Probability Distributions and Applications in R-Program
Week 9 - Theoretical & Practice
Correlation analysis and Applications in R-Program
Week 10 - Theoretical & Practice
Simple linear regression analysis and Applications in R-Program
Week 11 - Theoretical & Practice
Sampling distributions and hypothesis testing
Week 12 - Theoretical & Practice
Sampling distributions of the difference between means and Applications in R-Program
Week 13 - Theoretical & Practice
Independent t-test and Applications in R-Program
Week 14 - Theoretical & Practice
Variance Analysis and Applications in R-Program
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Midterm Examination115217
Final Examination125227
TOTAL WORKLOAD (hours)100
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
PÇ-11
OÇ-1
5
5
5
5
5
OÇ-2
OÇ-3
OÇ-4
OÇ-5
OÇ-6
OÇ-7
Adnan Menderes University - Information Package / Course Catalogue
2026