ISB108 Ethics in Statistics and Statistical Thinking

4 ECTS - 2-0 Duration (T+A)- 2. Semester- 2 National Credit

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB108
Name Ethics in Statistics and Statistical Thinking
Term 2026-2027 Academic Year
Semester 2. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi İsmet BİRBİÇER
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim is to create an intuitive foundation for students that will facilitate their understanding of fundamental concepts such as data collection, analysis, and interpretation, while keeping ethical guidelines in mind.

Course Content

Ethical guidelines to be observed in data collection, Ethical guidelines in scientific research, Hypothesis testing, Types of errors, Sample selection, Variable types and distributions, Graphical representations, Measures of central tendency.

Course Precondition

None

Resources

J.M Utts and R. F. Heckard (2002) Mind on Statistics, Duxbury

Notes

M. Aliaga and B. Gunderson (2003) Interactive Statistics (Second Edition), Prentice Hall.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the ethical guidelines that should be followed when collecting data.
LO02 Explains the reasons for unethical behavior in science.
LO03 Explains how to make decisions using statistics.
LO04 Explains the concepts of population, sample, unit, and variable.
LO05 Summarizes the data graphically.
LO06 Explains how to model the relationship between variables.
LO07 Explains how unethical behavior in science can be minimized.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Statistics 4
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 4
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems 3
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data 3
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization
PLO07 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods 2
PLO08 Bilgi - Kuramsal, Olgusal Make statistical inference (estimation, hypothesis tests etc.) 2
PLO09 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques and gain insight 2
PLO10 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programs
PLO11 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 3
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
PLO15 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection 5


Week Plan

Week Topic Preparation Methods
1 Statistics Professional Values and Ethical Principles, How to make a decision with statistics Source reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma, Örnek Olay
2 Explanation of null hypothesis, alternative hypothesis, decision rule, rejected and accepted regions, types of errors Source reading Öğretim Yöntemleri:
Anlatım, Tartışma
3 Explanation of the concetps unit, variable, sample, population, parameter and statistics. Source reading Öğretim Yöntemleri:
Anlatım, Örnek Olay
4 The language of sampling, Sampling methods Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Örnek Olay
5 Ethical guidelines for data collection Source reading Öğretim Yöntemleri:
Anlatım, Tartışma
6 Interpretation of observational studies Source reading Öğretim Yöntemleri:
Anlatım, Örnek Olay
7 Interpretation of experimental studies Source reading
8 Mid-Term Exam Review of lecture notes Ölçme Yöntemleri:
Yazılı Sınav, Ödev
9 Response variable and explanatory variable Source reading Öğretim Yöntemleri:
Anlatım, Tartışma
10 Experiment design Source reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
11 Graphical data analysis Source reading Öğretim Yöntemleri:
Anlatım
12 Summarizing data numerically Source reading Öğretim Yöntemleri:
Anlatım, Gösterip Yaptırma
13 Measurments of variability Source reading Öğretim Yöntemleri:
Anlatım
14 Ethical principles in scientific research Source reading Öğretim Yöntemleri:
Anlatım, Tartışma
15 Ethical guidelines for data collection and sharing. Source reading Öğretim Yöntemleri:
Anlatım, Tartışma
16 Term Exams Review of lecture notes Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review of lecture notes Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 2 8 16
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 16 16
Total Workload (Hour) 96
Total Workload / 25 (h) 3,84
ECTS 4 ECTS

Update Time: 20.04.2026 05:07