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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| STATISTICS PR. | |
| Code | ISB312 |
| Name | Analysis of Variance and Experimental Design |
| Term | 2019-2020 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 |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜLESEN ÜSTÜNDAĞ ŞİRAY |
| Course Instructor |
Prof. Dr. GÜLESEN ÜSTÜNDAĞ ŞİRAY
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
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
Yok
Resources
Notes
123
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 | - | Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics | 4 |
| PLO02 | - | Emphasize the importance of Statistics in life | 5 |
| PLO03 | - | Define basic principles and concepts in the field of Law and Economics | 0 |
| PLO04 | - | Produce numeric and statistical solutions in order to overcome the problems | 4 |
| PLO05 | - | Use proper methods and techniques to gather and/or to arrange the data | 5 |
| PLO06 | - | Utilize computer systems and softwares | 4 |
| PLO07 | - | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | 5 |
| PLO08 | - | Apply the statistical analyze methods | 5 |
| PLO09 | - | Make statistical inference(estimation, hypothesis tests etc.) | 5 |
| PLO10 | - | Generate solutions for the problems in other disciplines by using statistical techniques | 5 |
| PLO11 | - | Discover the visual, database and web programming techniques and posses the ability of writing programme | 0 |
| PLO12 | - | Construct a model and analyze it by using statistical packages | 4 |
| PLO13 | - | Distinguish the difference between the statistical methods | 5 |
| PLO14 | - | Be aware of the interaction between the disciplines related to statistics | 5 |
| PLO15 | - | Make oral and visual presentation for the results of statistical methods | 4 |
| PLO16 | - | Have capability on effective and productive work in a group and individually | 3 |
| PLO17 | - | 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 | 0 |
| PLO18 | - | Develop scientific and ethical values in the fields of statistics-and scientific data collection | 5 |
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 | |
| 2 | Estimation of parameters and generation of the confidence intervals | Source reading | |
| 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 | |
| 4 | Binary and multiple comparisons | Source reading | |
| 5 | Examples of Anova with SPSS and Minitab package program | Source reading | |
| 6 | Construction of two-way Anova (case 1), estimation of parameters, division of the sum of squares, construction of the Anova table | Source reading | |
| 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 | |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | |
| 9 | Incomplete randomized block designs. | Source reading | |
| 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 | |
| 11 | Fixed, random and mixed effects designs, obtaining the expected mean square errors | Source reading | |
| 12 | Nested design, two and there step nested designs | Source reading | |
| 13 | l step nested design,obtaining the expected mean square errors, examples with SPSS and Minitab package program | Source reading | |
| 14 | Factorial designs | Source reading | |
| 15 | Factorial design, examples with SPSS and Minitab package program | Source reading | |
| 16 | Term Exams | Review the topics discussed in the lecture notes and sources | |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 20 |
| General Assessment | ||
| Midterm / Year Total | 100 | 20 |
| 1. Final Exam | - | 80 |
| Grand Total | - | 100 |
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 | ||