GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NONPARAMETRIC STATISTICS/İST-403
Course Title: NONPARAMETRIC STATISTICS
Credits 4 ECTS 5
Semester 7 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  English
 -- NAME OF LECTURER(S)
  Assoc. Prof. Fikri Gökpınar
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/fikri,
 -- EMAIL(S) OF LECTURER(S)
  fikri@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
To teach the concept of the order statistics and the rank-order statistics.
To teach the tests for goodness of fit.
To teach the tests for one sample.
To teach the tests for two independent samples.
To teach the tests for two dependent samples.
To teach the tests for more than two independent samples.
To teach the tests for more than two dependent samples.
To teach the concepts of relationship coefficients
 -- MODE OF DELIVERY
  The modes of delivery of this course are Face to face and Lab. application.
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional program component for this course.
 --COURSE CONTENT
1. Week  Application area of nonparametric tests.
2. Week   Order statistics and rank-order statistics.
3. Week  Chi-square and one sample Kolmogorov-Smirnov tests for goodness of fit.
4. Week  Binom test, one sample sign test and application in Lab
5. Week  Wilcoxon signed-ranks test and one sample run test.
6. Week  Median test, Mann-Whitney test and application in Lab.
7. Week  Two samples Kolmogorov-Smirnov test and Wald-Wolfowitz run test
8. Week   Fisher exact test, sign test for two dependent samples and application in Lab.
9. Week  MIDTERM EXAM
10. Week  Wilcoxon signed-ranks test and Mc-Nemar test for two dependent samples.
11. Week   Mood test and Siegel-Tukey test for the equality of two dispersion parameters.
12. Week  Kruskal-Wallis , multiple comparisons and application in Lab.
13. Week  Friedmans test and multiple comparisons.
14. Week  Cochrans Q test and Spearman rank correlation coefficient.
15. Week  Kendall Tau coefficient and application in Lab.
16. Week  FINAL EXAM
 -- RECOMMENDED OR REQUIRED READING
  Gregory W. Corder, Dale I. Foreman, Nonparametric statistics : a step-by-step approach, 2nd edition,Wiley, 2014 Myles Hollander, Douglas Wolfe, Eric Chicken, Nonparametric Statistical Methods, 3rd Edition, 2014 Jean Dickinson Gibbons, Subhabrata Chakraborti, Nonparametric Statistical Inference, 5th Edition, 2010 W.J. Conover, Practical Nonparametric Statistics, 3rd edition, John Wiley & Sons,1999.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture and Lab. application
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
1
4
 Exercises
4
6
 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
2
28
 Practising Hours of Course Per Week
7
2
14
 Reading
3
1
3
 Searching in Internet and Library
6
3
18
 Designing and Applying Materials
0
 Preparing Reports
6
2
12
 Preparing Presentation
6
2
12
 Presentation
6
2
12
 Mid-Term and Studying for Mid-Term
4
2
8
 Final and Studying for Final
4
2
8
 Other
0
 TOTAL WORKLOAD: 
115
 TOTAL WORKLOAD / 25: 
4.6
 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