Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Statistics
  • Course Structure Diagram with Credits
  • Statistical Packages
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title İST338 - Statistical Packages
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ALPER BEKKİ
Mode of Delivery The mode of delivery of this course is Face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Reading List -
Assessment methods and criteria Exam
Work Placement This is not appropriate for the course.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Statistical Software: Basic features, installation and operation of Minitab and SPSS programs.
Week - 2 File and Edit menus: Data entry, Variable definitions, Import-Export data transfers.
Week - 3 Data Menu: Splitting, merging and saving data files.
Week - 4 Data Menu: Data selection and weighting based on criteria
Week - 5 Data Processing: Variable (Column) and Unit (Row) operations, Grouping and re-coding of data.
Week - 6 Data Processing: Variable and Unit-based calculations, Missing observation definitions and elimination methods.
Week - 7 Minitab: Generation of random data suitable for distributions, Probability distributions and probability calculations based on distributions.
Week - 8 SPSS: Entry of survey data, definition of variable properties and coding of data.
Week - 9 Creation of frequency series and crosstabs.
Week - 10 Graph menu and graph drawings.
Week - 11 Calculation of descriptive statistics.
Week - 12 Parametric Tests: z and Student-t tests, Checking the normality assumption.
Week - 13 Parametric Tests: One-way analysis of variance.
Week - 14 Parametric Tests: Regression analysis.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Problem Solving
  • Report Preparation and/or Presentation
  • Competences
  • Questoning
  • Creative
  • Civic awareness
  • Eleştirel düşünebilme
  • Problem solving
  • Information Management
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
2.Midterm Exam 1 30
Final Exam 1 40
Toplam (%) 100
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