Türkçe English Rapor to Course Content
COURSE SYLLABUS
STATISTICAL DATA ANALYSIS
1 Course Title: STATISTICAL DATA ANALYSIS
2 Course Code: EKO5105
3 Type of Course: Optional
4 Level of Course: Second Cycle
5 Year of Study: 1
6 Semester: 1
7 ECTS Credits Allocated: 4
8 Theoretical (hour/week): 2
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites: None
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Prof. Dr. ERKAN IŞIGIÇOK
16 Course Lecturers:
17 Contactinformation of the Course Coordinator: E-mail: eris@uludag.edu.tr
Telefon: 224 29 41101
Adres: Bursa Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi,Ekonometri Bölümü,Görükle,Bursa
18 Website:
19 Objective of the Course: To learn all stages of a scientific research theoretically and practically, to analyze the data using the SPSS statistical package program and to interpret the findings obtained.
20 Contribution of the Course to Professional Development Methods and techniques of education is to give the students can apply to their fields.
21 Learning Outcomes:
1 Determining the Research Problem and Purpose;
2 Determination of Research Hypotheses and Implementation of the Research;
3 Learning SPSS Package Program;
4 Evaluation of Results;
22 Course Content:
Week Theoretical Practical
1 Determining the Research Problem and the Purpose, Preparing the Questionnaire Form Suitable for the Purpose of the Research, Creating the Sampling Plan, Examining the Variable Types, Scale Levels, Likert Scale
2 Determination of Research Hypotheses and Application of the Research (Online Survey Application)
3 General Features of SPSS Package Program, Data Entry and File Operations, Encoding of Survey Results to SPSS Package Program and Data Cleaning Process
4 Obtaining Descriptive Statistics (Frequency Tables, Graphics, Calculation Results) in SPSS Package Program
5 Interpretation of Descriptive Statistics Obtained from SPSS
6 Creating Cross Tables in SPSS and Investigating the Relationship Between Two Qualitative Variables with Chi-Square Hypothesis Test
7 Investigation of the Relationship Between Two Quantitative Variables in SPSS with Correlation Analysis and Scattering Diagram
8 SPSS Applications on Parametric Hypothesis Tests
9 SPSS Applications for Analysis of Variance
10 SPSS Applications on Nonparametric Hypothesis Tests, Technical Comparison of Parametric and Nonparametric Hypothesis Tests
11 SPSS Applications for Regression Analysis
12 SPSS Applications for Logistic Regression Analysis
13 SPSS Applications of Canonical Correlation Analysis
14 Preparation of Research Report, Design and Presentation (Launch of Research Results in Powerpoint Program) (Factor Analysis if time remains) (Poster Presentation - Powerpoint and Poster preparation training will be given)
23 Textbooks, References and/or Other Materials: 1. U. Erman Eymen, SPSS 15 Veri Analizi Yöntemleri
2. Erkan Işığıçok, İstatistiksel Bakış,
3. Erkan Işığıçok, Betimsel İstatistik,
4. Erkan Işığıçok, Çıkarımsal İstatistik,
5. Özer SERPER, Uygulamalı İstatistik,
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 0 0
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 100
Total 1 100
Contribution of Term (Year) Learning Activities to Success Grade 0
Contribution of Final Exam to Success Grade 100
Total 100
Measurement and Evaluation Techniques Used in the Course Multiple choice test questions and written questions
Information This course is evaluated with an absolute evaluation system.
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 2 28
Practicals/Labs 0 0 0
Self Study and Preparation 14 4 56
Homeworks, Performances 0 0 0
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 0 0 0
Others 0 0 0
Final Exams 1 30 30
Total WorkLoad 114
Total workload/ 30 hr 3,8
ECTS Credit of the Course 4
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12
LO1 2 2 1 3 2 2 4 2 3 3 2 3
LO2 2 3 4 3 2 2 2 2 3 2 3 2
LO3 2 2 3 3 2 4 1 2 2 3 2 2
LO4 2 1 3 3 3 2 3 2 2 2 2 2
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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