GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICS II/İST1004
Course Title: STATISTICS II
Credits 3 ECTS 5
Course Semester 2 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Learning the concept of probability
Concept of discrete probability distributions
Concept of normal distribution
Concept of central limit theorem
Ability to create and interpret confidence intervals
Hypothesis testing concept
Learning the Chi-square independence test

 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  The concept of probability
2. Week  Binomial and bernoulli distribution
3. Week  Normal and standard normal distribution, computer applications
4. Week  Normal distribution, computer applications
5. Week  Sampling distribution and central limit theory, computer applications
6. Week  Point estimation and interval estimation
7. Week  Confidence interval for mean,computer applications
8. Week  Confidence interval for mean,computer applications, Midterm Exam
9. Week  Confidence interval for ratio,computer applications
10. Week  Confidence interval for variance, computer applications
11. Week  Confidence interval for two mean differences, computer applications
12. Week  Confidence interval for two ratio differences, computer applications
13. Week  Confidence interval for two variance ratios, computer applications
14. Week  General computer applications
15. Week  Final Exam
16. Week  -----------------------------------------------------------------
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 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
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
7
5
35
 Searching in Internet and Library
8
4
32
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
6
6
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
125
 TOTAL WORKLOAD / 25: 
5
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X
 -- NAME OF LECTURER(S)
   (Prof.Dr.Yaprak ÖZDEMİR , Assoc. Prof. Dr. Meral EBEGİL , Assoc. Prof. Dr. Meltem EKİZ , Lecturer Esen GÜRBÜZSEL )
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/yaprak , http://www.websitem.gazi.edu.tr/site/mdemirel , http://www.websitem.gazi.edu.tr/site/ozmeltem , http://www.websitem.gazi.edu.tr/site/esen)
 -- EMAIL(S) OF LECTURER(S)
   (yaprak@gazi.edu.tr , mdemirel@gazi.edu.tr , ozmeltem@gazi.edu.tr , esen@gazi.edu.tr)