BST153 Inferential StatisticsIstanbul Okan UniversityDegree Programs Business Administration (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Business Administration (English)
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) Explain the essential body of knowledge in the area of business administration, including evolution of the discipline, the state-of-the-art concepts, scientific methodology, theories and models
2) Employ the appropriate tools and analytical techniques to collect and analyze quantitative and qualitative data in the related areas, interpret results and propose solutions
3) Recognize the importance of technological development, especially in information technologies, and utilize them in business administration
4) Evaluate the body of knowledge in the dynamic business world and business functional areas to asses needs, manage and lead change by using critical and innovative thinking
5) Discover and create entrepreneurial opportunities and expertise to successfully establish and develop their own ventures
6) Fulfill their responsibility in teamwork and projects in businesses, and act as a leader
7) Communicate in written and oral English with people from diverse backgrounds, and have the English proficiency to follow and interpret the global dynamics in the areas of business administration
8) Recognize individual and multi-cultural diversity, and can emphatically interact with individuals from diverse cultural backgrounds in social and professional settings
9) Identify standards of personal, professional, social and business ethics, evaluate the ethical implications of various practices in the related areas, and be aware the importance of ethical behavior in adding value to the society
10) Recognize interrelationship among business and other disciplines, and relate knowledge from diverse areas to formulate novel solutions in the area of business administration

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Explain the essential body of knowledge in the area of business administration, including evolution of the discipline, the state-of-the-art concepts, scientific methodology, theories and models
2) Employ the appropriate tools and analytical techniques to collect and analyze quantitative and qualitative data in the related areas, interpret results and propose solutions
3) Recognize the importance of technological development, especially in information technologies, and utilize them in business administration
4) Evaluate the body of knowledge in the dynamic business world and business functional areas to asses needs, manage and lead change by using critical and innovative thinking
5) Discover and create entrepreneurial opportunities and expertise to successfully establish and develop their own ventures
6) Fulfill their responsibility in teamwork and projects in businesses, and act as a leader
7) Communicate in written and oral English with people from diverse backgrounds, and have the English proficiency to follow and interpret the global dynamics in the areas of business administration
8) Recognize individual and multi-cultural diversity, and can emphatically interact with individuals from diverse cultural backgrounds in social and professional settings
9) Identify standards of personal, professional, social and business ethics, evaluate the ethical implications of various practices in the related areas, and be aware the importance of ethical behavior in adding value to the society
10) Recognize interrelationship among business and other disciplines, and relate knowledge from diverse areas to formulate novel solutions in the area of business administration

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