GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY AND STATISTICS II/SGR-204
Course Title: PROBABILITY AND STATISTICS II
Credits 3 ECTS 4
Semester 4 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Hülya Olmuş
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/~hulya
 -- EMAIL(S) OF LECTURER(S)
  hulya@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Student learn how to plan and scientific research
Student learn what statistical methods,hypothesis tests and prediction are and how to use these
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
   There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Sampling, choosing sample, sampling error and sampling distributions, the central limit theorem
2. Week  The concept of hypothesis, types of error and power of test
3. Week  Testing of hypothesis for mean and ratio, solving problem
4. Week  Testing of hypothesis for the difference of two means and for the difference of two ratio, solving problem
5. Week  Testing of hypothesis for the variance, solving problem
6. Week  Testing of hypothesis for two variances, solving problem
7. Week  Midterm
8. Week   Confidence interval, confidence intervals for mean and for the difference of two means
9. Week   Confidence interval, confidence intervals for ratio and for the difference of two ratio
10. Week  confidence interval for variance and two variances, solving problem
11. Week  Goodness of fit tests, fitting to Binom,Poisson and normal distributions
12. Week  Chi-square tests for independence, homogeneity test
13. Week  Regresyon kavramı,basit doğrusal regresyon, serpme diyagramı
14. Week  Parameter estimation and interpretation of model
15. Week  Variance analysis, assumptions, multiple comparisons
16. Week  Final examination
 -- RECOMMENDED OR REQUIRED READING
  Prof. Dr. Semra Oral Erbaş, Olasılık ve İstatistik, Gazi Kitabevi
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
0
 Searching in Internet and Library
5
5
25
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
20
20
 Other
0
 TOTAL WORKLOAD: 
97
 TOTAL WORKLOAD / 25: 
3.88
 ECTS: 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Use mathematical and graphical tools in the field of insuranceX
2Understand the basic concepts and assumptions related to the science of insuranceX
3Use methods, techniques and tools necessary for the analysis and modelling of economic data to ensure and evaluate the obtained resultsX
4Describe the structure and properties of the markets in economyX
5Make predictions about the relationships between economic and financial variablesX
6Analyze and comment on current economic eventsX
7Comment on Insurance SectorX
8Analyze the insurance companies and the insurance sector within the framework of economic, financial and accounting dataX
9Have the ability to develop solutions for social problemsX
10Have the ability to do inter-disciplinary research and studyX