Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
192201102100STATISTICSCompulsory122
Level of Course Unit
Short Cycle
Objectives of the Course
" According to information theory, determining descriptive statistics should be done.Identifying the most appropriate statistical tools and using them. Using the sample and data collection techniques according to the state of the problem, the research purpose, method and scope. Processing collected data to packages programs according to analysis program and applied analysis method. Two-variable analysis of the data can be done. Findings can be interpreted and reported. "
Name of Lecturer(s)
Öğr. Gör. Mehmet POLAT
Learning Outcomes
11-1.Accurate description of statistics will be comprehended.
2"2-2.Fundamental concepts and issues of statistic are known.
33-3.Learning how to interpret the numerical indicators.
4"4-4.Summarizing each kind of data with tables and graphs are known.
55-5.Educating students who can comprehend the importance of statistics primarily in scientific terms, then in terms of the state management, business life.
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
" 1. Basic Concepts a. Statistical Science b. Population and Sample c. Parameter and statistical 2. Frequency Distributions 3. Measures of Central Tendency a. Parametric Tendency (Arithmetic, Geometric, Harmonic and the squared mean) b. Measures of non-parametric trend (Mode, Median, ..) 4. Measures of dispersion a. Parametric Measures of Dispersion b. Non-Parametric Measures of Dispersion 5. Skew 6. Stickiness 7. Contingency Theory a. Basic concepts b. Total and the multiplication rule c. Bayes' Theorem d. Probability distribution table 5. Normal Distribution 6. Sampling Theory 7. Regression 8. Correlation"
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1"Basic Concepts "
2"Frequency Distributions "
3"Parametric central tendency measures. "
4"Non-parametric measures of central tendency "
5"Non-Parametric Measures of Dispersion "
6"Parametric Measures of Dispersion "
7Skewness
8" Kurtosis"
9Theory of probability
10Theory of probability
11"Normal Distribution "
12Sampling theorem
13"Regression "
14Correlation
Recommended or Required Reading
"1. Başar, A. 1999. Uygulamalı İstatistik. Aktif Yayınları 2. Yıldız, E. 2010. İstatistik. Seçkin yayınları/Ankara"
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14228
Self Study14228
Individual Study for Mid term Examination188
Individual Study for Final Examination188
TOTAL WORKLOAD (hours)74
Contribution of Learning Outcomes to Programme Outcomes
PO
1		PO
2		PO
3		PO
4		PO
5		PO
6
LO1      
LO2      
LO3      
LO4      
LO5      
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476 226 13 14 • e-mail: info@igdir.edu.tr