BST153 Inferential StatisticsIstanbul Okan UniversityDegree Programs Food Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Food Engineering (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: Fall
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: Compulsory
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) Has sufficient background in mathematics, science and engineering related fields.
2) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5) Selects and uses the modern techniques and tools necessary for engineering applications.
6) Design experiments, conduct experiments, collect data, analyze and interpret results.
7) Works individually and in multi-disciplinary teams.
8) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14) Selects and uses the modern techniques and tools necessary for engineering applications.
15) Works individually and in multi-disciplinary teams
16) Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17) Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18) Communicates using technical drawing.
19) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20) Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21) Has professional and ethical responsibility.
22) Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23) Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Has sufficient background in mathematics, science and engineering related fields.
2) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
3) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
4) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
5) Selects and uses the modern techniques and tools necessary for engineering applications.
6) Design experiments, conduct experiments, collect data, analyze and interpret results.
7) Works individually and in multi-disciplinary teams.
8) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
9) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
10) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
11) Uses the theoretical and practical knowledge in mathematics, science and their fields together for engineering solutions.
12) Identifies, formulates and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques for this purpose.
13) Analyze a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods accordingly.
14) Selects and uses the modern techniques and tools necessary for engineering applications.
15) Works individually and in multi-disciplinary teams
16) Uses information and communication technologies together with computer software required by the field at least Advanced Level of European Computer Skills License.
17) Communicate effectively verbally and in writing; use a foreign language at least at level B1 of the European Language Portfolio.
18) Communicates using technical drawing.
19) Accesses information and conducts resource research for this purpose, uses databases and other information sources.
20) Becomes aware of the universal and social effects of engineering solutions and applications; entrepreneurship and innovation and have knowledge about the problems of the age.
21) Has professional and ethical responsibility.
22) Have awareness of project management, workplace practices, employee health, environmental and occupational safety; the legal consequences of engineering applications.
23) Demonstrates awareness of the universal and social impact of engineering solutions and applications; is aware of entrepreneurship and innovation and has knowledge about the problems of the age.

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