ECONOMICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ECO2063	Statistics for Economics	Fall	3	0	3	6

Basic information

Language of instruction:	English
Type of course:	Must Course
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN
Course Objectives:	The objective of this course is to familiarize the students with the basic concepts of statistics and statistical computing with R software language to provide a solid foundation for further study and/or employment involving data analysis.

Learning Outcomes

The students who have succeeded in this course;
1. Explain the basic concepts, elements and objectives of inferential statistics
2. Make inferential statistical analysis on a given data
3. Use corresponding technology that inference procedures require
4. Actively learn and develop computer-based skills of inferential methods
5. Apply inferential methods to enhance data-based decisions.
6. Effectively communicate the results obtained from statistical analysis
7. Infer and interpret analytically about the public information

Course Content

Students learn, within the scope of this course, the basic elements of inferential statistics such as theoretical framework of sampling distribution, confidence interval and hypothesis testing, along with R Studio applications.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introductory Lecture - R Studio Concepts and Applied Statistics
2)	R Studio Concepts and Applied Statistics
3)	Sampling and Sapling Distribution - Mean	Ch.6 (Newbold & Carlson & Thorne)
4)	Sampling and Sapling Distribution - Proportion	Ch.6 (Newbold & Carlson & Thorne)
5)	Sampling and Sapling Distribution - Variance	Ch.6 (Newbold & Carlson & Thorne)
6)	Confidence Interval Estimation: Single Population - Mean	Ch.7 (Newbold & Carlson & Thorne)
7)	Confidence Interval Estimation: Single Population - Proportion	Ch.7 (Newbold & Carlson & Thorne)
8)	Confidence Interval Estimation: Single Population - Variance	Ch.7 (Newbold & Carlson & Thorne)
9)	Confidence Interval Estimation: Difference Between Normal Population Means	Ch.8 (Newbold & Carlson & Thorne)
10)	Confidence Interval Estimation: Difference Between Normal Population Means	Ch.8 (Newbold & Carlson & Thorne)
11)	Hypothesis Tests of a Single Population: Mean	Ch.9 (Newbold & Carlson & Thorne)
12)	Hypothesis Tests of a Single Population: Proportion	Ch.9 (Newbold & Carlson & Thorne)
13)	Hypothesis Tests of a Two Population: Mean	Ch.10 (Newbold & Carlson & Thorne)
14)	Hypothesis Tests of a Two Population: Proportion	Ch.10 (Newbold & Carlson & Thorne)

Sources

Course Notes / Textbooks:	Newbold, P., Carlson, W.L., Thorne, B., Statistics for Business and Economics, )th Global Ed., Pearson, 2021.
References:	D.R. Anderson, D.J. Sweeney and T.A. Williams, Freeman, J., Shoesmith, E., Statistics for Business and Economics, 3rd Ed., South-Western Cengage Learning, 2014.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	3	% 20
Midterms	1	% 35
Final	1	% 45
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	4	56
Midterms	1	15	15
Final	1	25	25
Total Workload			138

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	As a world citizen, she is aware of global economic, political, social and ecological developments and trends.	4
2)	He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning.	4
3)	Absorbs basic economic principles and analysis methods and uses them to evaluate daily events.	5
4)	Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders.	5
5)	Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions.	4
6)	Comprehends new ways of doing business using digital technologies. and new market structures.	4
7)	Takes critical approach to economic and social problems and develops analytical solutions.	4
8)	Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods.	5
9)	In the works he/she contributes, observes individual and social welfare together and with an ethical perspective.	3
10)	Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines.	4
11)	Generates original and innovative ideas in the works she/he contributes as part of a team.	3