1	Course Title:	STATISTICS II
2	Course Code:	EKO2210
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	2
6	Semester:	4
7	ECTS Credits Allocated:	4
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:	Dr. Ögr. Üyesi GÜLCAN PETRİÇLİ
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	gulcanp@uludag.edu.tr
18	Website:
19	Objective of the Course:	Students will collect data from studies and data to transfer skills and knowledge required to implement the appropriate solution technique
20	Contribution of the Course to Professional Development	Statistical methods and techniques of education is to give the students can apply to their fields.

21

Learning Outcomes:

1 To be able to have information about continuous probability distributions.; 2 To be able to understand the basic idea on statistics.; 3 To be able to become familiar with statistical terms,; 4 To be able to summarize data in a clear and understandable manner,; 5 To be able to Parameter estimation,; 6 To be able to make hypothesis testing about mean and ratio.; 7 To be able to gain experience in interpreting the results of statistical analysis,; 8 To be able to occupy statistical inferences of finding, ;

22	Course Content:

Week	Theoretical	Practical
1	Sampling Theory
2	Statistical Estimation- Interval Estimation of Population Parameter
3	Statistical Estimation- Interval Estimation of the difference between population parameters
4	Statistical Decision Making- Hypothesis Tests for one population with the parameters
5	Statistical Decision Making- Hypothesis Tests for the parameters of two populations
6	Small Sampling Theory
7	Chi-Square Tests: General Information and Chi-square goodness of fit
8	Chi-Square Tests: Independent Test and Chi-Square Chi-Square Test of Homogeneity
9	F Test and Analysis of Variance
10	Regression and Correlation: General Definitions, Simple Linear Regression and Correlation
11	Regression and Correlation: Multiple Linear Regression and Correlation
12	Time Series Analysis: Basic Concepts And Trend Finding
13	Time Series Analysis: Measurement of seasonal and business cycle
14	Interpolation

23	Textbooks, References and/or Other Materials:	1. Özer Serper, Uygulamalı İstatistik 2, Ezgi Kitabevi, 2004, Bursa. 2. Necmi Gürsakal, Çıkarımsal İstatistik, Dora Basım Yayın, 2018, Bursa. 3. Erkan Işığıçok, Çıkarımsal İstatistik, Aktüel Yayınları, 2018, 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	Multiple choice test questions and written questions
Information	This courses is evaluated with a relative evaluation system.

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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	2	28
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	25	25
Others	0	0	0
Final Exams	1	25	25
Total WorkLoad			120
Total workload/ 30 hr			4
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 LO1 1 4 2 1 1 3 3 1 1 1 1 LO2 4 4 4 2 3 3 3 3 4 4 4 LO3 4 4 4 2 3 3 3 3 3 3 4 LO4 1 4 2 1 1 3 1 1 1 1 1 LO5 1 4 2 1 1 3 1 1 1 1 1 LO6 4 4 4 4 3 3 3 3 4 4 4 LO7 4 4 4 3 4 4 3 3 4 4 4 LO8 4 4 4 2 3 4 3 3 4 4 4

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High