BST153 Inferential StatisticsIstanbul Okan UniversityDegree Programs Nutrition and DieteticsGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Nutrition and Dietetics
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: University Elective
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) Graduates have the knowledge of attaining scientific knowledge in the field, monitoring, evaluating and applying current literature.
2) Graduates provide preventive health education for individual, family and community by using the information obtained in health field.
3) Graduates take responsibility as individuals and team members to solve complex and unforeseen problems encountered in the field of practice.
5) Graduates evaluates advanced knowledge and skills in the field of health with a critical approach.
6) Graduates transfer information and solution proposal for problems to people and institutions concerned about health field in written and verbally; listen to the thoughts, expectations and expectations of the people and institutions concerned.
7) Graduates become a role model for colleagues and society through Professional identity.
8) Graduates are competent enough to understand the anatomy, physiological functions and behavior of healthy individuals and/or the patients; it is empowering to understand the relationship between the individual's health and the physical and social environment.
9) As an individual, he acts in accordance with laws, regulations, legislation and professional codes of ethics regarding his duties, rights and responsibilities.
10) Cooperate with persons from related disciplines and act in accordance with social, scientific, cultural and ethical values at the stages of data collection, interpretation, application and announcement of results related to the health field.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Graduates have the knowledge of attaining scientific knowledge in the field, monitoring, evaluating and applying current literature.
2) Graduates provide preventive health education for individual, family and community by using the information obtained in health field.
3) Graduates take responsibility as individuals and team members to solve complex and unforeseen problems encountered in the field of practice.
5) Graduates evaluates advanced knowledge and skills in the field of health with a critical approach.
6) Graduates transfer information and solution proposal for problems to people and institutions concerned about health field in written and verbally; listen to the thoughts, expectations and expectations of the people and institutions concerned.
7) Graduates become a role model for colleagues and society through Professional identity.
8) Graduates are competent enough to understand the anatomy, physiological functions and behavior of healthy individuals and/or the patients; it is empowering to understand the relationship between the individual's health and the physical and social environment.
9) As an individual, he acts in accordance with laws, regulations, legislation and professional codes of ethics regarding his duties, rights and responsibilities.
10) Cooperate with persons from related disciplines and act in accordance with social, scientific, cultural and ethical values at the stages of data collection, interpretation, application and announcement of results related to the health field.

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