Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST106COMPUTER APPLICATIONS IN STATISTICS ICompulsory122
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
1Basic computer skills
2To be able to use some statistical software packages related to statistics
3To be able to transfer the necessary data to the computer by editing
4To be able to create tables and graphics with the help of some statistical software programs
5To be able to comprehend basic statistical terms
6To establish a relationship between statistical concepts
7To be able to analyze basic statistical concepts and methods with statistical software programs
8To be able to interpret and present the results of statistical analysis
Mode of Delivery
Face to Face
Prerequisites and co-requisities
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
WeekTheoreticalPracticeLaboratory
1Introduction, aim, content and resources of the course
2Introduction of program menus and applications
3Data entry, data coding, arithmetic and functional operations on data
4Classification of data: Frequency table preparation
5Frequency table preparation
6Graph drawing: Histogram graph, line graph, circle graph, box graph, etc. graphics
7Creating cross tables
8Midterm Exam
9Creating cross tables
10Descriptive statistics: Central tendency measures: Arithmetic mean, median, mod.
11Measures of distribution: Range, variance, standard deviation, standard error, coefficient of variation.
12Theoretical distributions
13Generating random numbers from some probability distributions, graphs and descriptive statistics about these random numbers
14Point and Interval Estimation: Confidence interval for the population mean in a single sample
15Confidence interval for population average in a single sample
16Final Exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
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End Of Term (or Year) Learning ActivitiesQuantityWeight
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Language of Instruction
Work Placement(s)
Workload Calculation
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Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr