1	Course Title:	DESCRIPTIVE STATISTICS
2	Course Code:	EKO2207
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	2
6	Semester:	3
7	ECTS Credits Allocated:	6
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	No
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:	Prof. Dr. Erkan IŞIĞIÇOK
17	Contactinformation of the Course Coordinator:	E-posta : eris@uludag.edu.tr Telefon: 0 224 29 41101 Adres: Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa.
18	Website:
19	Objective of the Course:	The aim of the course is to understand and apply basic concepts related to statistics, organize data, calculate descriptive statistics for the data, gain practical skills in statistical package programs and interpret the findings.
20	Contribution of the Course to Professional Development

21

Learning Outcomes:

1 To be able to define basic concepts and assumption of the descriptive statistics.; 2 To be able to collect data suitable for purpose using appropriate methods. ; 3 To be able to required to draw graphs and interpret suitable for the purpose of the data. ; 4 To be able to calculate the various indexes. ; 5 To be able to calculate required to central tendency measurements and measures of variability for the data.; 6 To be able to calculate and interpret measures of asymmetry and kurtosis of the data.; 7 To be able to explain the basic concepts and rules of probability theory. ; 8 To be able to define the relationship between discrete and continuous probability distributions.;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to Statistics
2	The data collection
3	Classification and grouping
4	Series and graphs
5	Sensitive means
6	Insensitive means
7	Ratios
8	Measures of variation
9	Measures of distribution shape
10	Indexes
11	Probability theory
12	Random variables and probability distributions
13	Discrete probability distributions
14	Continuous probability distributions

23	Textbooks, References and/or Other Materials:	1. Özer SERPER, Uygulamalı İstatistik 1, Ezgi Kitabevi, 2004, Bursa. 2. Necmi GÜRSAKAL, Betimsel İstatistik, Dora Yayınları, 2008. 3. Erkan IŞIĞIÇOK, İstatistiksel Bakış, Marmara Kitabevi, 2011, Bursa.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
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	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	3	42
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	40	40
Others	0	0	0
Final Exams	1	50	50
Total WorkLoad			174
Total workload/ 30 hr			5,8
ECTS Credit of the Course			6

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 1 2 1 4 1 1 4 4 5 4 4 1 LO2 1 2 2 4 1 1 4 4 5 4 3 2 LO3 1 2 1 3 1 1 3 3 5 4 2 2 LO4 1 3 2 3 1 1 2 3 4 4 2 1 LO5 1 2 2 2 1 1 2 3 5 3 2 1 LO6 1 2 1 2 1 1 3 2 4 3 2 2 LO7 1 2 2 1 1 1 4 3 4 5 3 2 LO8 2 2 2 3 1 1 4 3 4 4 3 2

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High