ISB152 Statistical Thinking

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

Information

Code ISB152
Name Statistical Thinking
Term 2024-2025 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 Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. SADULLAH SAKALLIOĞLU
Course Instructor
1 2
Prof. Dr. SADULLAH SAKALLIOĞLU (A Group) (Ins. in Charge)


Course Goal / Objective

The purpose of this course is to provide students an introduction to major concepts and tools of collecting, analyzing and interpreting data.

Course Content

Testing theories, Types of errors, Decision rule, Producing data, Random Sampling, Types of variables, Displaying distributions, Pie Charts, Bar Graphs, Frequency Plots, Stem and Leaf Plots, Mean, Median Mode, Displaying relationships between variables

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 Learn how to decide on Statistics
LO02 Recognizethe concepts of unit, variable, sample, population
LO03 Understand to select sample
LO04 Understand of principles for planning and experiment
LO05 Be able to summarize the data in a graphical
LO06 Be able to summarize the data in numerical
LO07 Explain to model of the relationship between the variables
LO08 Understand how to measure uncertainty with probabilty


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
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 5
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
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data 5
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.)
PLO09 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques and gain insight
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 5
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually 3
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


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, Tartışma, Problem Çözme
2 Explanation of null hypothesis, alternative hypothesis, decision rule, rejected and accepted regions, types of errors Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
3 Explanation of the concetps unit, variable, sample, population, parameter and statistics. Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
4 The language of sampling, Sampling methods Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
5 Random numbers, Simple Random Sampling, Stratified Random Sampling Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
6 Systematic Sampling, Cluster Sampling, Multistage sampling 2 Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
7 Introduction to observational studies and experiments. Understanding observational studies Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
8 Mid-Term Exam Written Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Response variable, Explanatory variable, Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
10 Principles of planning an experiment Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
11 Summarizing data graphically (Types of variables, Distribution of a variable, Pie Charts, Bar Graphs) Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
12 Summarizing data graphically (Displaying relationships between two qualitative variables, Frequency Plots, Histogram, Stem-and-leaf plots) Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
13 Summarizing data numerically (Mean, Median, Mode) Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
14 Summarizing data numerically (Range, Quartiles, Interquartile range, Standart deviation) Source reading Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
15 Solving problem Rewview the topics discussed in the lecture notes and sources Öğretim Yöntemleri:
Anlatım, Tartışma, Problem Çözme
16 Term Exams Written exam Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Written exam 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 1 0 0
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 24 24
Total Workload (Hour) 88
Total Workload / 25 (h) 3,52
ECTS 4 ECTS

Update Time: 12.06.2024 04:43