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COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Categorical Data Analysis * ISB   499 7 2 2 2

 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 Asst.Prof.Dr. Selma TOKER KUTAY
Instructors
 Dr. Öğr. Üyesi SELMA TOKER KUTAY 1. Öğretim Grup:A

Assistants
Goals
The aim of this course is to desrcibe contingency tables and to examine the methods of analysis based on contingency tables
Content
Describing and classifying the categorical variables, Probability distributions for analyzing categorical data, Describing contingency tables, Advanced methods in contingency tables, Loglinear models for contingency tables

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
X
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
X
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
X
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
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 Defining and classifying categorical variables Review of the literature
2 Probability distributions for analyzing categorical data Review of the previous lecture and the literature
3 Describing contingency tables Review of the previous lecture and the literature
4 Computing joint, marginal and conditional probabilities of two way contingency tables Review of the previous lecture and the literature
5 Chi-squared tests of independence Review of the previous lecture and the literature
6 Defining three way contingency tables Review of the previous lecture and the literature
7 Marginal and conditional odds ratio and independence for three way contingency tables Review of the previous lecture and the literature
8 Mid-term exam Review of the previous lecture and the literature
9 Tests for three way contingency tables Review of the previous lecture and the literature
10 Coefficients of relation in the contingency tables Review of the previous lecture and the literature
11 Advanced methods in contingency tables Review of the previous lecture and the literature
12 Loglinear Models in Two-Way Tables, Review of the previous lecture and the literature
13 Log-linear models in three way contingency tables Review of the previous lecture and the literature
14 Log-linear model fitting Review of the previous lecture and the literature
15 The relation between the binomial logit and log-linear model Review of the previous lecture and the literature
16-17 Final exam Review of the previous lecture and the literature