Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
ZTB-100EXPERIMENTAL DESIGN AND APPLICATIONS OF STATISTICAL PACKAGE PROGRAMElective126
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
1Öğrenci SPSS ile ilgili temel istatistiksel analizlari yapabilmek.
2SPSS çıktılarını profesyonel bir şekilde yorumlayabilmek
3To learn experimental designs using statistical programs
4To 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
WeekTheoreticalPracticeLaboratory
1An Introduction to SPSS statistical package program
2Calculation of Descriptive Statistics with SPSS statistical package program, and Frequency Tables and Graphs
3One-Sample t test, paired and unpaired two Samples-t test
4Categorical data analysis (Chi-Square, Fisher’s Exact, McNemar statistics) with SAS statistical package program, comparison of independent two proportions, power of test
5Regression, Correlation, Regression Diagnostics, Lack of Fit, (Backward, Forward Stepwise etc.)
6One-way ANOVA, two-way ANOVA Assumptions of ANOVA
7Two-way ANOVA (Randomised Block Design)
8Factorial Design at Randomised Plot Design
9Latin-Square Design
10Factorial Design at Randomised Block Design
11Split-Plot Design
12Split-Block Design
13Two Factor-Nested Design
14Tree Factor-Nested Design
Recommended or Required Reading
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 ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Self Study1410140
Individual Study for Mid term Examination11515
Individual Study for Final Examination12020
TOTAL WORKLOAD (hours)178
Contribution of Learning Outcomes to Programme Outcomes
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1
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2
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3
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4
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5
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6
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7
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8
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9
PO
10
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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