1	Course Title:	STATISTICAL TECHNIQUES
2	Course Code:	EKO6385
3	Type of Course:	Optional
4	Level of Course:	Third Cycle
5	Year of Study:	0
6	Semester:	0
7	ECTS Credits Allocated:	7,5
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	No prequisites
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. MUSTAFA AYTAÇ
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	E-posta : aytac1@uludag.edu.tr Telefon: 0 224 29 41 110 Adres: Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa.
18	Website:
19	Objective of the Course:	The purpose of this course, selection of appropriate methods for future studies is to use statistical techniques.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 To be able to study to analyze the data obtained,; 2 To be able to comment analysis using SPSS package program, ; 3 To be able to learn annova application of the one-way and two-way,; 4 To be able to learn application of the one-way and two-way manova,; 5 To be able to learn application of the analysis of covariance; 6 To be able to learn a simple application of the linear regression analysis,; 7 To be able to learn application of the Reliability Analysis,; 8 To be able to use disciplines on the nature of the data using appropriate statistical model across different disciplines,;

22	Course Content:

Week	Theoretical	Practical
1	One-Way ANOVA
2	Application of one-way ANOVA and SPSS
3	Two-way ANOVA
4	Application of Two-way ANOVA and SPSS
5	One-way Manova
6	Application of One-Way Manova and SPSS
7	Two-way Manova
8	Application of Two-Way MANOVA and SPSS
9	Analysis of Covariance
10	Application of Covariance Analysis and SPSS
11	Simple Linear Regression
12	Application of Simple Linear Regression and SPSS
13	Reliability Analysis
14	Application of Reliability Analysis and SPSS

23	Textbooks, References and/or Other Materials:	1. Şeref Kalayci; Spss Uygulamali Çok Değişkenli İstatisitksel Analiz Teknikleri 2. Özdamar Kazim, Paket Programlar ile İstatistiksel Veri Analizi 3. Bayram Nuran, Sosyal bilimlerde SPSS ile veri analizi. 4. James C. Raymondo, Statistical Analysis in the Social Sciences. 5. D.R.Cox and E.J.SNELL, APPLİED Statistics; Principles and Examples.
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
Information

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	1	35	35
Homeworks, Performances	0	35	70
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	0	0	0
Others	1	50	50
Final Exams	1	40	40
Total WorkLoad			223
Total workload/ 30 hr			7,43
ECTS Credit of the Course			7,5

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 4 3 4 3 4 5 4 4 5 5 4 4 LO2 3 3 4 4 4 3 5 5 4 4 4 3 LO3 4 3 4 5 4 3 4 4 4 3 3 4 LO4 3 4 3 3 4 3 4 3 4 3 5 4 LO5 4 3 4 3 4 3 4 3 5 4 3 3 LO6 3 4 3 5 4 3 4 3 3 4 3 4 LO7 3 4 3 4 3 4 4 4 4 4 3 3 LO8 2 3 4 4 4 3 4 3 3 4 4 5

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High