Information Package / Course Catalogue
Statistical Data Analysis
Course Code: PLT153
Course Type: Area Elective
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

To create an information infrastructure that will enable participants to carry out their work efficiently by transferring basic statistical tools and analysis processes used in business and academic fields, to select appropriate statistical methods in their studies, to analyze the data using the SPSS package program used to analyze the collected data, to interpret the analysis results by creating tables and graphs. To teach, together with quality practices, to provide participants with scientific research and basic and advanced statistical analysis, evaluation and reporting knowledge and skills.

Course Content

Binomial distribution, Poisson distribution, Exponential distribution, Gamma distribution, Normal distribution, Normal distribution, Spreading parameters, Probability, Permutation, Combination, Theoretical distributions: Binomial distribution, Exponential distribution, Gamma distribution, Normal statistic Distribution, safety grade, confidence interval, Statistical tests: z test, t test, chi-square tests.

Name of Lecturer(s)
Ins. Özgür YILMAZ
Learning Outcomes
1.To be able to outline the basic concepts for research methods
2.To be able to define the data structures and scales based on the research
3.To be able to determine the appropriate statistical methods required for research
4.To be able to interpret statistical analysis
5.Data analysis
Recommended or Required Reading
1.Statistical Methods in Organization of Experiments, Charles R. Hicks, GAZİ Bookstore
2.Statistical Methods, Enis Sınıksaran, Türkmen Bookstore /Mathematics-Statistics Series
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Experimental Design
Week 2 - Theoretical
Experimental strategy, Basic principles, Some typical applications of experimental design
Week 3 - Theoretical
Data summarization tools and graphs
Week 4 - Theoretical
Parametric Tests: t, z and ANOVA test
Week 5 - Theoretical
Hypothesis Test: Z-test
Week 6 - Theoretical
Hypothesis Test: T-test
Week 7 - Theoretical
ANOVA test
Week 8 - Theoretical
ANOVA test (Midterm Exam Evaluation)
Week 9 - Theoretical
Nonparametric tests: Ki-square, Mann Whitney U, Sign etc. Tests
Week 10 - Theoretical
Regression and Correlation Analysis
Week 11 - Theoretical
Regression and Correlation Analysis
Week 12 - Theoretical
Reliability analysis
Week 13 - Theoretical
Validity Analysis
Week 14 - Theoretical
Factor analysis
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Midterm Examination1819
Final Examination114115
TOTAL WORKLOAD (hours)80
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
OÇ-1
3
1
2
1
3
3
3
2
2
2
1
4
1
OÇ-2
3
1
1
2
3
2
2
2
2
2
1
4
1
OÇ-3
3
1
2
1
3
2
2
2
2
2
1
4
1
OÇ-4
3
1
2
2
3
2
2
2
2
2
1
4
1
OÇ-5
1
1
1
3
5
2
2
2
2
4
Adnan Menderes University - Information Package / Course Catalogue
2026