Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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General Information Programs
  • Institute of Graduate Programmes
  • Department of Statistics
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Statistical Analysis with Statistical Packages
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information
Code - Course Title İST545 - Statistical Analysis with Statistical Packages
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
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.
Required or Recommended Resources • Özdamar, K., Paket Programlar ile İstatistiksel Veri Analizi I, 9. Basım, Nisan Kitabevi, Eskişehir, 2013.• Özdamar, K., Paket Programlar ile İstatistiksel Veri Analizi II, 9. Basım, Nisan Kitabevi, Eskişehir, 2013.
Recommended Reading List • Tekin, V. N., SPSS Uygulamalı İstatistik Teknikleri, Seçkin Yayınevi, 2. Baskı, Ankara, 2009.• Gürsakal, N., (1997), Bilgisayar Uygulamalı İstatistik I, Marmara Yayınları, Bursa.• Gürsakal, N., (1997), Bilgisayar Uygulamalı İstatistik II, Marmara Yayınları, Bursa. • SPSS User’s Guide.• Minitab User’s Guide.
Assessment methods and criteria 1 Mid-term and 1 Final exam. Examinations will be written.
Work Placement This is not appropriate for the course.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Statistical Packages for Statistical Analysis.
Week - 2 An overview of the Software menu.
Week - 3 Data entry and variable definitions.
Week - 4 Survey data, frequency tables and cross-table entries.
Week - 5 Arrangement of Data, processing and storing of data.
Week - 6 Calculation of descriptive statistics and graphical illustrations.
Week - 7 Parametric Tests: z and Student's t tests.
Week - 8 Parametric Tests: One-way analysis of variance.
Week - 9 Parametric Tests: Two-way analysis of variance.
Week - 10 Nonparametric Tests: Chi-square tests.
Week - 11 Nonparametric Tests: One Sample Tests.
Week - 12 Nonparametric Tests: Independent two sample tests.
Week - 13 Non-parametric tests: Paired samples tests.
Week - 14 Regression and Correlation 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 (%)
Toplam (%) 0
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