ADVANCED STATISTICS II- INFERENTIAL METHODS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
YBS303	ADVANCED STATISTICS II- INFERENTIAL METHODS	5	3	3	7

GENERAL INFORMATION
Language of Instruction :	Turkish
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. DİDEM TETİK KÜÇÜKELÇİ
Instructor(s) of the Course Unit	Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to inform the students about the basic concepts of statistics, to collect data in their studies and to provide the necessary knowledge and skills to apply the appropriate solution technique.
Contents of the Course Unit:	In case of deductions about the universe with the help of a sample, statistics are called deductional statistics. The method used by deductional statistics is the inductive method. Contents of this course include the subjects such as methods based on probability theory, dissemination of the results obtained based on a sample representing the universe to the universe, tests of hypothesis on the universe and predictions for the future.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Predict statistical estimation of obtained data.
Create hypotheses in research.
Test hypothesis tests.
Analyze to determine the degree of relationships between variables.
Model the time series.
Predict future predictions from time series.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Introduction	Lecture & Problem Solving
2	Literature Review	Sampling and Sampling Divisions	Lecture & Problem Solving
3	Literature Review	Sampling and Sampling Divisions	Lecture & Problem Solving
4	Literature Review	Statistical prediction	Lecture & Problem Solving
5	Literature Review	Confidence Interval and Confidence Limits	Lecture & Problem Solving
6	Literature Review	Statistical decision making	Lecture & Problem Solving
7	Literature Review	Hypothesis testing and stages	Lecture & Problem Solving
8	-	MID-TERM EXAM	-
9	Literature Review	Chi-Square Test	Lecture & Problem Solving
10	Literature Review	Regression Correlation	Lecture & Problem Solving
11	Literature Review	Linear Regression and Correlation	Lecture & Problem Solving
12	Literature Review	Time Series Analysis	Lecture & Problem Solving
13	Literature Review	Finding the trend and measuring seasonal fluctuations	Lecture & Problem Solving
14	Literature Review	Interpolation	Lecture & Problem Solving
15	Literature Review	Interpolation in grouped series	Lecture & Problem Solving
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Gursakal, N. (2014). Cikarimsal istatistik. Dora Publications.

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

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 concepts such as management, manager and leader.				3
2	Analyze the accuracy, reliability and validity of the new information obtained from the data.						5

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Report the obtained data.						5
2	Prepare software and projects related with the field.						5

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Use the appropriate resources for data analysis related with the field.						5
2	Analyze the work processes.						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Manage projects as part of a team.						5
2	Apply the material, techniques and analyzes in relation with the subject for project and work flows.						5

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Fulfill responsibility with a focus on result in individual and team studies.						5

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Recognizes what he/she knows about his/her field or not.						5
2	Act the theoretical knowledge in real life with learning to learn approach.						5
3	Apply different methods and techniques with an innovative approach in his/her research.						5

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Apply the results obtained in accordance with voluntarism and social responsibility projects.						5
2	Establish a healthy contact with colleagues				3
3	Share the analyzes and obtained results with colleagues.						5
4	Cooperate with colleagues at international level with the help of foreign language competency.						5

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Behave in accordance with ethical values regarding the collection, analysis and reporting of data.						5
2	Participate the design of work processes and systems with full quality.						5
3	Cooperate with other employees for the continuation of sustainability in the profession.						5

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	13	3	39
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	13	1	13
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	6	6	36
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	8	6	48
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	56	0	180