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Information
| Code | ISB152 |
| Name | Statistical Thinking |
| Term | 2022-2023 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 |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SADULLAH SAKALLIOĞLU |
| Course Instructor |
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 Probability, Statistics and Mathematics | 5 |
| 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 | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer systems and softwares | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | 5 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 2 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Make statistical inference(estimation, hypothesis tests etc.) | 5 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques | 4 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programme | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Construct a model and analyze it by using statistical packages | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Be aware of the interaction between the disciplines related to statistics | |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 5 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 3 |
| PLO17 | 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 | |
| PLO18 | 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 | |
| 2 | Explanation of null hypothesis, alternative hypothesis, decision rule, rejected and accepted regions, types of errors | Source reading | |
| 3 | Explanation of the concetps unit, variable, sample, population, parameter and statistics. | Source reading | |
| 4 | The language of sampling, Sampling methods | Source reading | |
| 5 | Random numbers, Simple Random Sampling, Stratified Random Sampling | Source reading | |
| 6 | Systematic Sampling, Cluster Sampling, Multistage sampling 2 | Source reading | |
| 7 | Introduction to observational studies and experiments. Understanding observational studies | Source reading | |
| 8 | Mid-Term Exam | Written Exam | |
| 9 | Response variable, Explanatory variable, | Source reading | |
| 10 | Principles of planning an experiment | Source reading | |
| 11 | Summarizing data graphically (Types of variables, Distribution of a variable, Pie Charts, Bar Graphs) | Source reading | |
| 12 | Summarizing data graphically (Displaying relationships between two qualitative variables, Frequency Plots, Histogram, Stem-and-leaf plots) | Source reading | |
| 13 | Summarizing data numerically (Mean, Median, Mode) | Source reading | |
| 14 | Summarizing data numerically (Range, Quartiles, Interquartile range, Standart deviation) | Source reading | |
| 15 | Solving problem | Rewview the topics discussed in the lecture notes and sources | |
| 16 | Term Exams | Written exam | |
| 17 | Term Exams | Written exam |
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 | ||