Course Unit Code  Course Unit Title  Type of Course Unit  Year of Study  Semester  Number of ECTS Credits  İST106  COMPUTER APPLICATIONS IN STATISTICS I  Compulsory  1  2  2 

Level of Course Unit 
First Cycle 
Objectives of the Course 
To give basic concepts about statistics and to analyze them with some statistical software packages. 
Name of Lecturer(s) 

Learning Outcomes 
1  Basic computer skills  2  To be able to use some statistical software packages related to statistics  3  To be able to transfer the necessary data to the computer by editing  4  To be able to create tables and graphics with the help of some statistical software programs  5  To be able to comprehend basic statistical terms  6  To establish a relationship between statistical concepts  7  To be able to analyze basic statistical concepts and methods with statistical software programs  8  To be able to interpret and present the results of statistical analysis 

Mode of Delivery 
Face to Face 
Prerequisites and corequisities 

Recommended Optional Programme Components 

Course Contents 
Classification of data with statistical software (PSPP, EXCEL, SPSS, MINITAB, ...): preparing frequency tables, creating cross tables, graphing; descriptive statistics; theoretical distributions; random number generation; interval estimation. 
Weekly Detailed Course Contents 

1  Introduction, aim, content and resources of the course    2  Introduction of program menus and applications    3  Data entry, data coding, arithmetic and functional operations on data    4  Classification of data: Frequency table preparation    5  Frequency table preparation    6  Graph drawing: Histogram graph, line graph, circle graph, box graph, etc. graphics    7  Creating cross tables    8  Midterm Exam    9  Creating cross tables    10  Descriptive statistics: Central tendency measures:
Arithmetic mean, median, mod.    11  Measures of distribution: Range, variance, standard deviation, standard error, coefficient of variation.    12  Theoretical distributions    13  Generating random numbers from some probability distributions, graphs and descriptive statistics about these random numbers    14  Point and Interval Estimation: Confidence interval for the population mean in a single sample    15  Confidence interval for population average in a single sample    16  Final Exam   

Recommended or Required Reading 

Planned Learning Activities and Teaching Methods 

Assessment Methods and Criteria   Language of Instruction   Work Placement(s)  

Workload Calculation 