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Description of Individual Course UnitsCourse Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | ZOO-23-165 | BASIC STATISTICS USING SAS AND SPSS PROGRAMS | 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 |
| Mode of Delivery | Daytime Class | Prerequisites and co-requisities | None | Recommended Optional Programme Components | None | Course Contents | An Introduction to SAS and SPSS statistical package program
Calculation of Descriptive Statistics with SAS and SPSS 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 with SAS and SPSS statistical package program
Regression, Correlation, Regression Diagnostics, Lack of Fit, (Backward, Forward Stepwise etc.) with SAS and SPSS statistical package program
One-way ANOVA, two-way ANOVA Assumptions of ANOVA with SAS and SPSS statistical package program
Two-way ANOVA (Randomised Block Design)with SAS and SPSS statistical package program
Factorial Design at Randomised Plot Designwith SAS and SPSS statistical package program
Latin-Square Design with SAS and SPSS statistical package program
Factorial Design at Randomised Block Design with SAS and SPSS statistical package program
Split-Plot Design with SAS and SPSS statistical package program
Split-Block Design with SAS and SPSS statistical package program
Two Factor-Nested Design with SAS and SPSS statistical package program
Tree Factor-Nested Design with SAS and SPSS statistical package program | Weekly Detailed Course Contents | |
1 | An Introduction to SAS and SPSS statistical package program
| | | 2 | Calculation of Descriptive Statistics with SAS and SPSS statistical package program, and Frequency Tables and Graphs
| | | 3 | One-Sample t test, paired and unpaired two Samples-t test with SAS and SPSS statistical package program | | | 4 | Categorical data analysis (Chi-Square, Fisher’s Exact, McNemar statistics) with SAS statistical package program, comparison of independent two proportions, power of test with SAS and SPSS statistical package program | | | 5 | Regression, Correlation, Regression Diagnostics, Lack of Fit, (Backward, Forward Stepwise etc.) with SAS and SPSS statistical package program | | | 6 | One-way ANOVA, two-way ANOVA Assumptions of ANOVA with SAS and SPSS statistical package program | | | 7 | Two-way ANOVA (Randomised Block Design)with SAS and SPSS statistical package program | | | 8 | Factorial Design at Randomised Plot Design with SAS and SPSS statistical package program | | | 9 | Latin-Square Design with SAS and SPSS statistical package program | | | 10 | Factorial Design at Randomised Block Design with SAS and SPSS statistical package program | | | 11 | Split-Plot Design with SAS and SPSS statistical package program | | | 12 | Split-Block Design with SAS and SPSS statistical package program | | | 13 | Two Factor-Nested Design with SAS and SPSS statistical package program | | | 14 | Tree Factor-Nested Design with SAS and SPSS statistical package program | | |
| 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 | | Language of Instruction | | Work Placement(s) | None |
| Workload Calculation | |
Midterm Examination | 1 | 1 | 1 | Final Examination | 1 | 2 | 2 | Self Study | 14 | 10 | 140 | Individual Study for Mid term Examination | 1 | 15 | 15 | Individual Study for Final Examination | 1 | 20 | 20 | |
Contribution of Learning Outcomes to Programme Outcomes | | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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