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•           Information on Degree Programmes

COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Statistical Thinking * ISB   152 2 2 2 4

 Prerequisites and co-requisites Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Prof. Dr. Sadullah SAKALLIOĞLU
Instructors
 Prof. Dr. SADULLAH SAKALLIOĞLU 1. Öğretim Grup:A Prof. Dr. SADULLAH SAKALLIOĞLU 2. Öğretim Grup:A

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

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
X
2
Emphasize the importance of Statistics in life
X
3
Define basic principles and concepts in the field of Law and Economics
4
Produce numeric and statistical solutions in order to overcome the problems
X
5
Use proper methods and techniques to gather and/or to arrange the data
X
6
Utilize computer systems and softwares
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
X
8
Apply the statistical analyze methods
X
9
Make statistical inference(estimation, hypothesis tests etc.)
X
10
Generate solutions for the problems in other disciplines by using statistical techniques
X
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
13
Distinguish the difference between the statistical methods
X
14
Be aware of the interaction between the disciplines related to statistics
X
15
Make oral and visual presentation for the results of statistical methods
X
16
Have capability on effective and productive work in a group and individually
X
17
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
X
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 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 Source reading
7 Introduction to observational studies and experiments. Understanding observational studies Source reading
8 Mid-Term Exam Rewview the topics discussed in the lecture notes and sources
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
16-17 Term Exams Written exam