Information Package / Course Catalogue
Statistics
Course Code: ZT462
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

The objectives of this course are teaching the concept of elementary statistics and giving the skill of use of statistical methods for student to analyze raw data and interpret results.

Course Content

The course content include statistical reasoning, sampling and experimentation, descriptive statistics, probability theory and distributions, estimation, one sample and two sample hypothesis tests for means and ratios, regression and correlation analyses and one way analysis of variance (ANOVA).

Name of Lecturer(s)
Assoc. Prof. Onur YILMAZ
Learning Outcomes
1.To gain the statistical point of view
2.To be able to understand and use the probability distribution
3.To acquire ability of the statistical inference
4.To be able to write and test the hypothesis
5.To be able to use statistical techniques and methods
Recommended or Required Reading
1.Puskulcu, H., Ikiz, F., Eren, S. 2006. Introduction to Statistics. Baris Yayinlari. Fakulteler Kitabevi, Izmir.
2.Atil, H. 1998, Statistics (in Turkish). Published by Faculty of Agriculture of Aegean University, No.531, Bornova, İzmir.
3.Yildiz, N., Bircan, H., 2008. Applied Statistics (in Turkish). Nobel Press, Turkey. ISBN:9944770612
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to statistical reasoning. Fundamental statistical terms
Week 2 - Theoretical
Descriptive statistics. Organizing and summarizing data: frequency tables and graphics.
Week 3 - Theoretical
Describing data with averages and describing variability
Week 4 - Theoretical
Basic concepts of probability theory. Probability distributions
Week 5 - Theoretical
Discrete probability distributions: binomial and poisson
Week 6 - Theoretical
Continuous probability distribution: normal distribution
Week 7 - Theoretical
Statistical inference: point and interval estimations
Week 8 - Theoretical
Large sample tests: z test to compare one population or two population mean or ratio
Week 9 - Theoretical
Small sample tests: t test for compare one sample, two independent samples and two related samples means.
Week 10 - Theoretical
Chi-Square (?2) tests
Week 11 - Theoretical
Hypothesis Testing
Week 12 - Theoretical
Relationships among variables: linear regression analysis
Week 13 - Theoretical
Relationships among variables: correlation analysis
Week 14 - Theoretical
Anaysis of Variance (ANOVA) for one factor
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Midterm Examination114115
Final Examination117118
TOTAL WORKLOAD (hours)75
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
PÇ-12
PÇ-13
PÇ-14
OÇ-1
3
3
3
3
3
3
3
3
3
3
3
3
3
3
OÇ-2
3
3
3
3
3
3
3
3
3
3
3
3
3
3
OÇ-3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
OÇ-4
3
3
3
3
3
3
3
3
3
3
3
3
3
3
OÇ-5
3
3
3
3
3
3
3
3
3
3
3
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026