Information Package / Course Catalogue
Statistical Data Analysis With Program Application
Course Code: UTB518
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim of the department is to provide bases of probability, statistics and stochastic models and to use computers while teaching students these basic knowledge

Course Content

Students will learn and use various technologies such as computer, internet, multimedia, television, video, projector machines through the courses that give priority to the use of developing information technologies in school and the development of various materials necessary for teaching

Name of Lecturer(s)
Learning Outcomes
1.It should be able to decide the appropriate methods to be used in the statistical analysis of the data.
2.It should be able to design experimental design of statistical problems, to model mathematically, to be able to solve and to interpret the results.
3.be able to use the ready-made software in the field of statistics and statistics.
4.Statistical software package use z or t-score to calculate.
5.Apply Chi-Square Hypothesis tests.
Recommended or Required Reading
1."Kuramsal İstatistik", Özge Akkuş, Seçkin Yayıncılık, 2017
Weekly Detailed Course Contents
Week 1 - Theoretical
Overview of statistical package program
Week 2 - Theoretical
Overview of statistical package program
Week 3 - Theoretical
Descriptive statistics: Organizing and displaying data; Frequency distributions; Relative frequency distributions; Cumulative frequency distributions;
Week 4 - Theoretical
Histograms and graphs; Measures of central tendency;Mean, median, and mode, Interpretations;
Week 5 - Theoretical
Measures of variation, Range, Variance and standard deviation, Quarters and percentiles, Interpretations
Week 6 - Theoretical
Types of Distributions: Symmetric, Asymmetric (positive and negative skew),
Week 7 - Theoretical
Random Variables and Probability Distributions
Week 8 - Theoretical
Discrete Random Variables, Probability distribution of a discrete random variable,Mean (expected value) and standard deviation of a discrete random variable(Midterm)
Week 9 - Theoretical
Confidence Intervals: Large, Small sample, Difference between two population means, Independent samples
Week 10 - Theoretical
Confidence Intervals: Examples for dependent variable
Week 11 - Theoretical
For a population mean: Large sample (z-test), Small sample from a normal population (t-test), Use of statistical software package to compute z- or t- score; For the difference of two population means
Week 12 - Theoretical
Independent samples (z- or t-test), Dependent samples (z- or t-test), Use of statistical software package to compute z- or t-
Week 13 - Theoretical
Chi-Square tests of Hypotheses: Fitting Test; Test of Independence; Test of Homogeneity
Week 14 - Theoretical
Chi-Square tests of Hypotheses: Fitting Test; Test of Independence; Test of Homogeneity
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory3101575
Term Project110111
Midterm Examination135136
TOTAL WORKLOAD (hours)122
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
OÇ-1
OÇ-2
OÇ-3
OÇ-4
OÇ-5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026