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Categories: Trabalhos

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Output do HLM (8a encontro – 21 Imar/12) exercнcio de Notas de matemбtica – Influкncia do Desempenho dos alunos ou das Escolas Specifications for this HLM2 run Problem Title: no title The data source for this run = exemplo 1 The command file for this run = C: Output file name = Student The maximum numb OF2 oft- • S. wp view nent page Method of estimation. restricted maximum likelihood The outcome variable is MATHACH Summary of the model specified Level-l Model

MATHACHij poj rij Level-2 Model poj = voo + uoj Mixed Model MATHACHij uoj rij Final Results – Iteration 4 Iterations stopped due to small change in Ilkelihood function 02 39. 14831 Reliability estimate INTRCPTI,PO | 0. 901 | The value of the log-likelihood function at iteration 4 – -2. 355840E+004 Final estimation of fixed effects: Fixed Effect Coefficient I Standard errorl t-ratio I Approx. d. f. p-value I For INTRCPTI, po INTRCPT2, yoo | 12636972 | 0. 4412 | 51. 704 159 | < 0. 001 | Final estimation of fixed effects (with robust standard errors) INTRCPT2, yoo | 12. 636972 | 0. 243628 | 51. 870 159 | ut; Final estimation ofvariance components Random Effect Standard Deviation I Variance d. f. lx2 p-value I Component INTRCPTI, uol 293501 861431 159 | 166023259 levei-l,r | 6. 25686 39. 14831 | Statistics for current covariance components model Deviance 47116. 793477 Number of estimated parameters 2

Normas para apresentacao trabalhos

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UNIVERSIDADE CATÓLICA DE PETRÓPOLIS PRÓ-REITORIA ACADÊMICA COORDENAÇÃO GERAL DE PESQUISA E PÓS-GRADUAÇÃO NORMAS PARA APRESENTAÇÃO DE TRABALHOS ACADÊMICOS to view

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Basquetebol

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EAD O Basquetebol 4 1. ObjEtivOs • Conhecer a estrutura do basquetebol, incluindo as regras, os fundamentos e os sistemas

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