Ders Planı

Lesson Information

Course Credit	3.0
Course ECTS Credit	4.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Programme Elective
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	S
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Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	Methods used in the experimental design and its relationship with the statistical model.
Course Content	Experimental design principles, analysis of variance models, one-way analysis of variance: Balanced case, two-way analysis of variance: Balanced case; Variance analysis: Unbalanced case, analysis of covariance; Random effects models and mixed effects models.

Learning Outcomes

Has theoretical knowledge in the field of statistics.
Has the ability to use the theoretical resources required for statistics
Has the ability to use the theoretical resources required for statistics
To be able to use the necessary theoretical content resources for statistics
Defines the studies related to statistics independently and with the partners
Describe the current problems with statistical methods
Defines the ability of abstract and analytical thinking
Comprehend the knowledge of computer software and programming technique to be able to apply the science of statistics effectively.
Analyze the theoretical knowledge in probability and statistics
Evaluate different databases as required
Evaluates the outputs of applied questionnaires
Applies the concepts and thoughts in the field with scientific methods
Arrange the data related to the field
Solve the identified statistical problems
Prepares surveys
Develops solutions based on identified statistical problems, evidence and research
Contributes to the professional development of the employees under their management
Define new topics related to statistics
Give lectures and seminars about statistics and probability
Determines the needs for learning
Develops original attitudes towards lifelong learning by guiding learning processes related to learning
He/She organizes projects and activities for the social environment in which he/she lives with an awareness of social responsibility
Students will be able to communicate their solutions to problems related to statistics in written and oral forms
Supports suggestions for solutions and thoughts with quantative and quantative data
Follow developments in the field by using a foreign language
Uses computer software and information-communication-network technologies at the level required by the science of statistics
Students will have social, scientific and ethical values in the publication of the data related to the fields of science
Quality management and process, environmental protection, occupational health and safety issues has sufficient awareness
Gain social, scientific and ethical values in the stages of collecting, interpreting and announcing the data related to the fields of science
Has knowledge about the legal consequences of statistical applications

Weekly Course Subjects

1	Arrangement of experimental design
2	Fixed an effective one-way analysis of variance
3	Model compliance control, parameter estimation and confidence intervals
4	Random efficient one-way analysis of variance, discussion and use of statistical software packages
5	Model compliance control, parameter estimation and confidence intervals
6	Fixed an effective two-way balanced design.
7	Random effective balanced two-way design
8	Midterm exams, homework
9	Fixed an effective two-way unbalanced design
10	Parameter estimation and confidence intervals reading Resources Lecture, discussion and use of statistical software packages
11	A randomized complete block design
12	Mixed effects models
13	The estimation of variance components and using confidence intervals and statistical software packages
14	Repeated measures

Resources

1 -Rencher, A. C. (2000), Linear Models in Statistics, Wiley and Sons Inc., New York.
2-Mickey, R.M.; Dunn, O.J.; Clark, V.A. (2004), Applied Statistics, Analysis of Variance and Regression, Wiley and Sons Inc..
3- Mazmanoğlu, Adnan, Deney Tasarımı ve Genelleştirilmiş Ters Matrislerle İstatistik Analiz Yöntemleri, Nobel yayın Dağıtım, Ankara, 2014
4-Murray R. Spiegel, Larry J. Stephens(Türkçe Çeviri Alptekin Esin, Salih Çelebioğlu),İstatistik, Nobel Yayın Dağıtım, 1999, Ankara

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Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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