# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
CATEGORICAL DATA ANALYSIS/İST4025
 Course Title: CATEGORICAL DATA ANALYSIS Credits 3 ECTS 4 Course Semester 7 Type of The Course Elective
COURSE INFORMATION
-- (CATALOG CONTENT)
-- (TEXTBOOK)
-- (SUPPLEMENTARY TEXTBOOK)
-- (PREREQUISITES AND CO-REQUISITES)
-- LANGUAGE OF INSTRUCTION
TURKISH
-- COURSE OBJECTIVES
-- COURSE LEARNING OUTCOMES
Student learns the definition and classification of categorical variables.
Student learns methods of statistical analysis where categorical variables are used
Student learns establishing models with regard to obtained data
Student learns obtaining results by using statistical software programs.

-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week Fundemental concepts 2. Week Univariate analysis, Goodness of fit tests 3. Week Sampling ditributions, Sample size and zeros 4. Week Contingency tables, joint, marginal, and conditional probabilities 5. Week Contingency tables, relative risk and confidence interval 6. Week Odds ratio and attributes 7. Week Chi-square tests for independence 8. Week Exact inferences for small samples, Fisher's exact test, mid-term exam 9. Week Correlation coefficients 10. Week Three-way tables, marginal and conditional odds ratio and independence 11. Week Log-linear model for three-way contingency tables 12. Week Model selection, analysis summary and interpretation 13. Week Logistic regression analysis 14. Week Model selection, analysis summary and interpretation 15. Week Final exam 16. Week -
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 30 Assignment 2 10 Application 0 0 Projects 0 0 Practice 0 0 Quiz 0 0 Percent of In-term Studies 40 Percentage of Final Exam to Total Score 60