Course Details

STATISTICS II

ECON206

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits
4	ECON206	STATISTICS II	3+0+0	3	5

Course Details

Language of Instruction	English
Level of Course Unit	Bachelor's Degree
Department / Program	ECONOMICS
Type of Program	Formal Education
Type of Course Unit	Compulsory
Course Delivery Method	Face To Face
Objectives of the Course	Introducing the role of statistics in research and economics. Improving students’ skills in data gathering and analysis. Showing how to interpret statistical results. Providing background and foundational knowledge to support further studies in economic and econometric applications.
Course Content	The course is designed as a continuation of ECON 205 - Statistics I and it is focused on the broad treatment of applications of statistics, concentrating on techniques used in economics. Subjects such as sampling distributions, one-sample and two-sample hypothesis tests, confidence intervals, chi-square tests, and simple and multiple linear regression are examined throughout the course. It is also aimed to show how to define, collect, organize, visualize and analyze data for an economics problem using statistical techniques. Computer implementations with up-to-date statistical software are also included in the course content.
Course Methods and Techniques	Learners will be provided with as much opportunities of hands-on practice as possible with the aim of striking a balance between learner-centeredness and sufficient guidance. Various forms of interaction (i.e. pair work and group work) will also be encouraged to cater for learners with different learning styles. Additionally, individuals will be expected to produce both in-class writings and homework assignments in addition to the reading tasks, which will encourage them to reflect and think critically. Technology will also be incorporated into the classroom procedures to create a better learning environment.
Prerequisites and co-requisities	( ECON205 )
Course Coordinator	None
Name of Lecturers	Prof.Dr. PROF.DR. EYÜP DOĞAN
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources	1) Statistics for Business and Economics, Newbold, Carlson, and Thorne, 2020/9th Global Edition, Pearson Education, Inc. Suggested textbooks: 2) Business statistics: A first course, Levine, D. M., Szabat, K. A., & Stephan, D. (2020) 8th Global Edition. Pearson
	Textbook: 1) Statistics for Business and Economics, Newbold, Carlson, and Thorne, 2020/9th Global Edition, Pearson Education, Inc. Suggested textbooks: 2) Business statistics: A first course, Levine, D. M., Szabat, K. A., & Stephan, D. (2020) 8th Global Edition. Pearson.
	Textbook: 1) Statistics for Business and Economics, Newbold, Carlson, and Thorne, 2020/9th Global Edition, Pearson Education, Inc. Suggested textbooks: 2) Business statistics: A first course, Levine, D. M., Szabat, K. A., & Stephan, D. (2020) 8th Global Edition. Pearson.
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Course Category

Mathematics and Basic Sciences	%60
Social Sciences	%40

Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

In-Term Studies	Quantity	Percentage
Quiz/Küçük Sınav	6	% 60
Final examination	1	% 40
Total	7	% 100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Ev Ödevi	3	1	3
Sınıf İçi Aktivitesi	3	14	42
Kısa Sınav	20	1	20
Okuma	1	10	10
Araştırma	1	10	10
Kişisel Çalışma	1	2	2
Sözlü Sınav	1	20	20
Derse Devam	10	2	20
Final Sınavı	20	1	20
Total Work Load			Number of ECTS Credits 5 147

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Describe types of hypotheses testing with two samples.
2	Interpret chi-square probability distribution as the sample size changes.
3	Analyze basic concepts in linear regression and correlation.
4	Examine F-Distribution and the one-way ANOVA.
5	Apply Multiple Regression Analysis.

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Fundamentals of Hypothesis Testing: One-Sample Tests
2	Fundamentals of Hypothesis Testing: Two-Sample Tests
3	Chi-Square distribution
4	Chi- Square Goodness-Of- Fit Test
5	Chi- Square Test of Independence
6	Chi-Square Test of Homogeneity
7	Testing Single Population Variance
8	LWF
9	Estimating a Population Variance
10	Linear Regression
11	Correlation
12	Prediction with Regression Equation
13	Analysis of Variance (ANOVA)
14	Hypothesis Test for Variances in Two Samples using F-distribution
15	Multiple Linear Regression

Contribution of Learning Outcomes to Programme Outcomes

	P3	P4	P6	P7	P8	P10
C1	1	2	5	2	1	2
C2	1	2	5	2	1	2
C3	1	2	5	2	1	2
C4	1	2	5	2	1	2
C5	1	2	5	2	1	2

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=70488&lang=en

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