BST153 Inferential StatisticsIstanbul Okan UniversityDegree Programs SociologyGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Sociology
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: BST153
Course Name: Inferential Statistics
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 6
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Common Pool
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi FERİDUN CEMAL ÖZÇAKIR
Course Lecturer(s):
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to teach students how to estimate population parameters from sample values and how to test hypotheses about these parameters.
Course Content: In this course, Sampling Methods, Central Limit Theorem in Random Sampling, Estimation of Population Mean, Estimation of Population Ratio Estimation, Estimation of Population Variance, Parametric Hypothesis Tests, Tests and Stages of Hypothesis, Tests of Mean, Tests of Proportion, Tests of Variance, Between Two and More than Two Population Mean Tests of Difference – Analysis of Variance – F Test are explained.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Students will be able to estimate population parameters from sample values.
2 - Skills
Cognitive - Practical
1) Students will be able to test hypotheses about population parameters.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Sampling Methods
2) Central Limit Theorem in Random Sampling
3) Estimation of Population Mean
4) Estimation of Population Ratio Estimation
5) Estimation of Population Variance
6) Parametric Hypothesis Tests
7) Tests and Stages of Hypothesis
8) Midterm
9) Tests of Mean, Tests of Proportion
10) Tests of Proportion
11) Tests of Variance
12) Between Two and More than Two Population Mean Tests of Difference
13) Analysis of Variance
14) F Test

Sources

Course Notes / Textbooks: Çözümsel İstatistik - Prof. Dr. Nuray Girginer
References: Çözümsel İstatistik - Prof. Dr. Nuray Girginer

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

Program Outcomes
1) Gains the ability to interpret social developments with the theoretical knowledge that is acquired and a critical perspective.
2) Has knowledge about other disciplines and is open to lifelong learning to be able to success interdisciplinary work.
3) Has the ability to observe social, scientific and ethical values ​​in the stages of data collection, interpretation and announcement while conducting research in the field.
4) Graduates with a good knowledge of at least one foreign language and one foreign language at the entry level.
5) Gains a professional perspective with good observation ability and empathy.
6) Gains the ability to collect local, national and international data and conduct research in the field of social science.
7) Can make explanations to expert or non-expert audiences about their field or social issues, inform them and convey their thoughts, problems and solutions clearly in written and oral form.
8) Adopts various internship programs and applied studies.
9) Gains knowledge to work as a researcher, consultant or expert in the public or private sector.
10) Complies with the ethical rules accepted and encouraged by TÜBİTAK, YÖK and TÜBA and universal science within the context of research, and education.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Gains the ability to interpret social developments with the theoretical knowledge that is acquired and a critical perspective.
2) Has knowledge about other disciplines and is open to lifelong learning to be able to success interdisciplinary work. 5
3) Has the ability to observe social, scientific and ethical values ​​in the stages of data collection, interpretation and announcement while conducting research in the field.
4) Graduates with a good knowledge of at least one foreign language and one foreign language at the entry level.
5) Gains a professional perspective with good observation ability and empathy.
6) Gains the ability to collect local, national and international data and conduct research in the field of social science.
7) Can make explanations to expert or non-expert audiences about their field or social issues, inform them and convey their thoughts, problems and solutions clearly in written and oral form.
8) Adopts various internship programs and applied studies.
9) Gains knowledge to work as a researcher, consultant or expert in the public or private sector.
10) Complies with the ethical rules accepted and encouraged by TÜBİTAK, YÖK and TÜBA and universal science within the context of research, and education.

Learning Activity and Teaching Methods

Expression
Individual study and homework
Lesson

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 42 588
Homework Assignments 3 9 27
Midterms 1 1 1
Final 1 1 1
Total Workload 617