ISB312 Analysis of Variance and Experimental Design

5 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Code ISB312
Name Analysis of Variance and Experimental Design
Term 2024-2025 Academic Year
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜLESEN ÜSTÜNDAĞ ŞİRAY
Course Instructor
1 2
Prof. Dr. GÜLESEN ÜSTÜNDAĞ ŞİRAY (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to construct the necessary theoretical background in undergraduate teaching, to analyze the data that can be faced at the public and private sectors, to gain the knowledge, skills, and practicality for interpreting the results of the analysis.

Course Content

The content of this course is one-way Anova, binary and multiple comparisons, two-way Anova, incomplete randomized block designs, designs of Latin square, Greko-Latin square, Youden square, Anova for fixed, random and mixed effects designs, nested design, factorial designs.

Course Precondition

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Resources

1. Semra Oral Erbaş, Hülya Olmuş, Ezgi Nazman. Araştırmacılar İçin SPSS Uygulamalı İstatistiksel Deney Tasarımı. Gazi Kitabevi 2. Birdal Şenoğlu, Şükrü Acıtaş. İstatistiksel Deney Tasarımı-Sabit Etkili Modeller, Nobel Akademik Yayıncılık 3. Charles R. Hicks, Çevirmenler: Zehra Muluk, Öniz Toktamış, Ergun Karaağaoğlu, Serdar Kurt. Deney Düzenlemede İstatistiksel Yöntemler . Gazi Kitabevi

Notes

https://online.stat.psu.edu/stat500/


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explain the basic concepts of Anova and cause of used Anova.
LO02 Analyze the one-way and two way Anovas.
LO03 Check the assumptions necessary for the analysis of variance model.
LO04 Make estimation for unknown parameters in the analysis of variance model.
LO05 Generate the expected mean square error according to the fixed effect and random effect.
LO06 Apply confidence intervals.
LO07 Hypothesis tests about the parameters .
LO08 Determine the sources of differences (which experiment or experiments) in case of rejection of the null hypothesis.
LO09 Performs Anova by using SPSS and Minitab package programs.
LO10 Analyze the incomplete randomized block designs, Latin square, Greko-Latin square and Youden square designs.
LO11 Make the Anova for fixed, random and mixed effects designs.
LO12 Construct the nested and factorial designs.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Statistics
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 4
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems 4
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data 4
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization
PLO07 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods 4
PLO08 Bilgi - Kuramsal, Olgusal Make statistical inference (estimation, hypothesis tests etc.)
PLO09 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques and gain insight
PLO10 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programs
PLO11 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
PLO15 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 Basic concepts of analysis of variance, construction of one-way Anova and checking the model assumptions Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Soru-Cevap, Tartışma
2 Estimation of parameters and generation of the confidence intervals Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Örnek Olay
3 Division of the basic sum of squares, construction of the Anova table, testing of the hypothesis, obtaining the expected mean square errors Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Soru-Cevap
4 Binary and multiple comparisons Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
5 Examples of Anova with SPSS and Minitab package program Source reading Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
6 Construction of two-way Anova (case 1), estimation of parameters, division of the sum of squares, construction of the Anova table Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
7 Construction of two-way Anova (cases 2 and 3), estimation of parameters, division of the sum of squares, construction of the Anova table Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Soru-Cevap
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav
9 Incomplete randomized block designs. Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
10 Latin square, Greko Latin Square and Youden Square designs, estimation of parameters, division of the sum of squares, construction of the Anova table Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Tartışma
11 Fixed, random and mixed effects designs, obtaining the expected mean square errors Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Tartışma
12 Nested design, two and there step nested designs Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
13 l step nested design,obtaining the expected mean square errors, examples with SPSS and Minitab package program Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Alıştırma ve Uygulama
14 Factorial designs Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme, Alıştırma ve Uygulama
15 Factorial design, examples with SPSS and Minitab package program Source reading Öğretim Yöntemleri:
Anlatım, Problem Çözme
16 Term Exams Review the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Review the topics discussed in the lecture notes and sources Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 12.06.2024 10:33