Q1.Trus/False.a. Mean model is called the two factor anzlysis of variance model because orly one factor is investigated.TrueFalse5. Our objectives in randomized design will be test hypotheses about the treatment means and estimate them.TrueFalsec. Two basic models for the one-way anova model : Fixed effect model and the random modelTrueFalsed"2" treatments could have been specifically chosen by the experimenter. We wish to test hypotheses zbout treatment means and ourconclusion will apply only to the factor levels considered in the analysis. The conclusions cannot be extended to similar treatmentsthat were not explicitly considered. This is called "random effects model".TrueFalsee. The treatments of an experiment are the factor-level combinations utilized.TrueFalseS. In general, once the experiment is run you don't have a choice as to which model to use-if treatment levels not chosen at randomfrom some population, you must use random-effect model.TrueFalse

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Description: Q1.Trus/False.a. Mean model is called the two factor anzlysis of variance model because orly one factor is investigated.TrueFalse5. Our objectives in randomized design will be test hypotheses about the treatment means and estimate them.TrueFalsec. T

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. Mean model is called the two factor analysis of variance model because only one factor is investigated. True False . Our objectives in randomized design will be test hypotheses about the treatment means and estimate them. True False . Two basic models for the one-way anova model : Fixed effect model and the random model True False

. Mean model is called the two factor analysis of variance model because only one factor is investigated. True False . Our objectives in randomized design will be test hypotheses about the treatment means and estimate them. True False . Two basic models for the one-way anova model : Fixed effect model and the random model True False

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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