Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  9900001156  İSTATİSTİK  Compulsory  1  2  4 

Level of Course Unit 
First Cycle 
Objectives of the Course 
After completing this course, student will be able to;  Improve his/her knowledge and skills on basic statistics, descriptive statistics, common statistical distributions and properties, simple correlation and regression, sampling distributions, error types, Test of hypothesis for dependent and independent group means  Solve problems relating to these subjects by reflecting on his/her experiences, Develop adequate course plans. 
Name of Lecturer(s) 

Learning Outcomes 
1  Know probability concept and learn data types  2  Graphical representation of the data, summarize and makes interpretation.  3  Know types and characteristics of distributions. Know sampling dist. and hypotesis testing.  4  Learns regression and correlation analysis, applications, makes comments on the results.  5  Learn and apply the nonparametric statistics. Make Chi square test applications.  6  Olasılık kavramını bilir. Veri tiplerini öğrenir  7  Verilerin grafiksel gösterimini, özetlenmesini ve yorumlamasını yapar  8  Dağılım tiplerini ve özelliklerini öğrenir. Örnekleme dağılımlarını hipotez testlerini bilir  9  Regresyon ve korelasyon analizlerini öğrenir, uygulamalarını yapar sonuçları yorumlar  10  Parametrik olmayan istatistikleri öğrenir ve uygular. Khi kare testinin uygulamalarını yapar 

Mode of Delivery 
Daytime Class 
Prerequisites and corequisities 
None 
Recommended Optional Programme Components 
None 
Course Contents 
Introductionto Statistics, Basic concepts Scaling, Types of Data, Discontinuous variables, Continuous variables Frequency Distributions Tables Graphics for continuous variables (Polygon, Histogram) Descriptive Statistics Location measurements (Central tendency measurements) Variation measurement Descriptive Statistics for Frequency Distributions Tables Correlation and regression Classical distributions Discrete distributions ((Binom ve Poisson) Continuous distributions (Normal Distribution) Sampling distributions and hypothesis tests t distribution Student t test for two independent groups Paired t test for two dependent groups Proportion tests Chisquare distribution and Chisquare tests General review and problem solving 
Weekly Detailed Course Contents 

1  Basic concepts    2  Basic concepts    3  Statistics expressed by the figure    4  Statistics expressed by the figure    5  Hypothesis control    6  Hypothesis control    7  Midterm exan    8  Confidence limits    9  Confidence limits    10  Khi square test    11  two way khi square test    12  Orthogonal comparisons    13  Correlation, regression    14  An overview    15  Final exam    16    

Recommended or Required Reading 

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  Turkish  Work Placement(s)  None 

Workload Calculation 