STATISTICS II PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
ECF228	STATISTICS II	4	3	3	6

GENERAL INFORMATION
Language of Instruction :	English
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. MEHMET SAYA
Instructor(s) of the Course Unit	Prof. ANTON ABDULBASAH KAMIL
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to provide students with the ability to make scientific decision making according to statistical analysis techniques and analysis results.
Contents of the Course Unit:	Contents of the course include the subjects such as confidence interval estimates for single and two universe, Hypothesis testing for single and two universe, simple and multiple regression analysis, nonparametric statistics, Chi-square distribution.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Defines and explains sampling methods and sampling distributions.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Week 1	Introduction to sampling methods and sampling distributions	-
2	Week 2	Central Limit Theorem and its applications	-
3	Week 3	Point estimation: estimators and their properties	-
4	Week 4	Interval estimation (confidence intervals): mean and proportion	-
5	Week 5	Fundamentals of hypothesis testing (H0–H1, errors, p-value)	-
6	Week 6	One-sample hypothesis tests (Z test, t test	-
7	Week 7	Two-sample hypothesis tests (independent samples t test)	-
8	Week 8	Paired-samples t test and applications	-
9	Week 9	Chi-square (χ²) tests: goodness-of-fit and independence tests	-
10	-	MID-TERM EXAM	-
11	Week 11	One-way analysis of variance (ANOVA) and post-hoc tests	-
12	Week 12	Simple linear regression: model building and interpretation	-
13	Week 13	Correlation analysis (Pearson) and interpretation	-
14	Week 14	Introduction to time series and trend analysis (moving average, linear trend)	-
15	Week 15	Introduction to time series and trend analysis (moving average, linear trend)	-
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
olasılık ve istatistik-Fikri AKdeniz

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Define the basic concepts of economics, administrative and human sciences. (Bloom 1)			2
2	Evaluate the economic environment and overall sustainability of firms. (Bloom 4)			2

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Relate principles and concepts of economics and finance with other disciplines. (Bloom 4)		1
2	Define principles, concepts, methods and theories related with economics and finance. (Bloom 1)		1

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Interpret the charts and tables related to the field. (Bloom 2)		1

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate the theoretical models of economic policies which have direct or indirect effects by using the facts and dynamics of the economic system.(Bloom 4)		1
2	Analyze economic and financial reports. ((bloom 4)			2
3	Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)			2
4	Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)			2

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Organize economic and financial activities in humanitarian and social terms with adherence to ethics. (Bloom 4).		1

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Develop a critical perspective on national and international economic, political, social, financial and development problems. (bloom 6)			2

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Follow the agenda on economics, politics and social issues and improve himself/ herself. (bloom 6)			2

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Analyze current issues and problems by using the structure and properties of Macro and Microeconomics and variables. (Bloom 4)			2
2	Evaluate the effectiveness of the general economic system and public policies and their effects on markets and basic economic variables.(Bloom 4)			2
3	Analyze the cause and effect relationships between the relevant economic variables. (Bloom 4)		1
4	Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)		1

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	8	112
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	0	0	0
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	0	0	0
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	30	0	156