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Course Information

Course Information

Course Title	Code	Semester	L+U Hour	Credits	ECTS
STATISTICAL DESIGN OF EXPERIMENT	İST3006		0 + 0	3.0	5.0

Prerequisites

None

Language of Instruction	Turkish
Course Level	Graduate Degree
Course Type	Compulsory
Mode of delivery	After theoretical review, applications will be given by using computer programs
Course Coordinator
Instructors
Assistants
Goals	Create the variance analysis models according to data, searhing for factor effects and real life applications
Course Content	Model selction, parameter estimation and hypothesis testing
Learning Outcomes	1) Draws statistical conclusions by estimating the regression parameters with repetition of the information matrix and testing. 2) Examines for the relationship between the regression analysis models and the variance analysis 3) Examines for completely randomized and incomplete block models in terms of statistical inference. 4) Has knowledge of factors and levels concepts and removal of the statistical results of the regular model 2x2 factors. 5) Reviews one effective models (one-way ANOVA), parameters, variables, factor, ANOVA table concepts. 6) Creates confidence intervals and hypothesis testing for the difference with one-way ANOVA model parameter estimation, testing, the effects of factor levels, compared with the average. 7) Examines the results with the issuance of hypothesis test and test statistics in fixed and random effects models, random effect model. 8) Examines the multi-effect ANOVA models, common interaction between factors, fixed, random and mixed effects models 9) Makes hypothesis tests with creating ANOVA table as a result of Nested with the introduction of the tests and the issuance of the design model (Examines the confidence intervals of the model parameters and hypothesis testing for this parameters) 10) Examines the case that by introducing the Split Plot Models, in a split plot factor model by introducing fixed, random and mixed effect.