Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits ZTB-100 EXPERIMENTAL DESIGN AND APPLICATIONS OF STATISTICAL PACKAGE PROGRAM Elective 1 2 6
Level of Course Unit
Second Cycle
Objectives of the Course
1. To teach use of some statistics package programs for essential statistics and experimental designs 2. To provide foundation in theory and in practice
Name of Lecturer(s)
Doç.Dr. Ecevit EYDURAN
Learning Outcomes
 1 Öğrenci SPSS ile ilgili temel istatistiksel analizlari yapabilmek. 2 SPSS çıktılarını profesyonel bir şekilde yorumlayabilmek 3 To learn experimental designs using statistical programs 4 To professionally interpret outputs of statitical programs
Mode of Delivery
Daytime Class
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
An Introduction to SAS statistical package program Calculation of Descriptive Statistics with SAS statistical package program, and Frequency Tables and Graphs One-Sample t test, paired and unpaired two Samples-t test Categorical data analysis (Chi-Square, Fisher’s Exact, McNemar statistics) with SAS statistical package program, comparison of independent two proportions, power of test Regression, Correlation, Regression Diagnostics, Lack of Fit, (Backward, Forward Stepwise etc.) One-way ANOVA, two-way ANOVA Assumptions of ANOVA Two-way ANOVA (Randomised Block Design) Factorial Design at Randomised Plot Design Latin-Square Design Factorial Design at Randomised Block Design Split-Plot Design Split-Block Design Two Factor-Nested Design Tree Factor-Nested Design
Weekly Detailed Course Contents
 Week Theoretical Practice Laboratory 1 An Introduction to SPSS statistical package program 2 Calculation of Descriptive Statistics with SPSS statistical package program, and Frequency Tables and Graphs 3 One-Sample t test, paired and unpaired two Samples-t test 4 Categorical data analysis (Chi-Square, Fisher’s Exact, McNemar statistics) with SAS statistical package program, comparison of independent two proportions, power of test 5 Regression, Correlation, Regression Diagnostics, Lack of Fit, (Backward, Forward Stepwise etc.) 6 One-way ANOVA, two-way ANOVA Assumptions of ANOVA 7 Two-way ANOVA (Randomised Block Design) 8 Factorial Design at Randomised Plot Design 9 Latin-Square Design 10 Factorial Design at Randomised Block Design 11 Split-Plot Design 12 Split-Block Design 13 Two Factor-Nested Design 14 Tree Factor-Nested Design
1. Kesici, T., Kocabaş, Z. 1996. Biyoistatistik ders kitabı, Ankara Üniv.Eczacılık Fak.yay. No:79, ANKARA. 2. Düzgüneş, O.; Kesici, T.; Kavuncu, O.; Gürbüz, F. 1987. Araştırma ve Deneme Metotları (İstatistik Metotları-II). Ankara Üniversitesi Ziraat Fakültesi Yayınları: 1021, Ders Kitabı: 295, Ankara. 3. Bek, Y. Efe, E. 1988. Araştırma ve Deneme Metotları. Çukurova Üniversitesi Ziraat Fakültesi Ders Kitabı, Adana. 4. Soysal, İ. 1992. Biometrinin Prensipleri (İstatistik I ve II Ders Notları). Trakya Üniversitesi Tekirdağ Ziraat Fakültesi Yayın No: 95, Tekirdağ. 5. Yızdız, N.; Bircan, H. 1994. Araştırma ve Deneme Metotları. Atatürk Üniversitesi Yayınları No: 697. Ziraat Fakültesi No: 305, Erzurum. 6. Yızdız, N.; Bircan, H. 1994. Uygulamalı İstatistik. Atatürk Üniversitesi Yayınları No: 704. Ziraat Fakültesi No: 308, Erzurum. 7. İkiz, F.; Püskülcü, H. Eren, Ş. 1996. İstatistiğe Giriş. Ege Üniversitesi Basımevi, Bornova, İzmir. 8. Atıl, H. 1998. İstatistik. Ege Üniversitesi Ziraat Fakültesi Yayınları No: 531, E.Ü.Ziraat Fakültesi Ofset Atelyesi, Bornova, İzmir.
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
 Term (or Year) Learning Activities Quantity Weight SUM 0 End Of Term (or Year) Learning Activities Quantity Weight SUM 0 SUM 0
Language of Instruction
Work Placement(s)
None