Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits 192201102100 STATISTICS Compulsory 1 2 2
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
 1 1-1.Accurate description of statistics will be comprehended. 2 "2-2.Fundamental concepts and issues of statistic are known. 3 3-3.Learning how to interpret the numerical indicators. 4 "4-4.Summarizing each kind of data with tables and graphs are known. 5 5-5.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
 Week Theoretical Practice Laboratory 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 " 7 Skewness 8 " Kurtosis" 9 Theory of probability 10 Theory of probability 11 "Normal Distribution " 12 Sampling theorem 13 "Regression " 14 Correlation
"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 Activities Quantity Weight Midterm Examination 1 100 SUM 100 End Of Term (or Year) Learning Activities Quantity Weight 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
Turkish
Work Placement(s)
None