Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  2111003105  STATISTICS  Compulsory  2  3  3 

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. Twovariable analysis of the data can be done. Findings can be interpreted and reported. 
Name of Lecturer(s) 
Öğr. Gör. Dinçer ATASOY 
Learning Outcomes 
1  11.Accurate description of statistics will be comprehended.  2  11.Accurate description of statistics will be comprehended.  3  "22.Fundamental concepts and issues of statistic are known.  4  "22.Fundamental concepts and issues of statistic are known.  5  33.Learning how to interpret the numerical indicators.  6  33.Learning how to interpret the numerical indicators.  7  "44.Summarizing each kind of data with tables and graphs are known.  8  "44.Summarizing each kind of data with tables and graphs are known.  9  55.Educating students who can comprehend the importance of statistics primarily in scientific terms, then in terms of the state management, business life.  10  55.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 corequisities 
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 nonparametric trend (Mode, Median, ..)
4. Measures of dispersion
a. Parametric Measures of Dispersion
b. NonParametric 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 

1  "Basic Concepts
"
   2  "Frequency Distributions
"
   3  "Parametric central tendency measures.
"
   4  "Nonparametric measures of central tendency
"
   5  "NonParametric Measures of Dispersion
"
   6  "Parametric Measures of Dispersion
"
   7  Skewness
   8  "
Kurtosis"
   9  Theory of probability
   10  Theory of probability
   11  "Normal Distribution
"
   12  Sampling theorem
   13  "Regression
"
   14  Correlation
  

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  
Midterm Examination  1  100  SUM  100  
Final Examination  1  100  SUM  100  Term (or Year) Learning Activities  40  End Of Term (or Year) Learning Activities  60  SUM  100 
 Language of Instruction   Work Placement(s)  None 

Workload Calculation 