OBJECTIVES Three strength tests (compressive, three point flexure and biaxial) were performed on three glass ionomer (GI) restoratives to assess the most appropriate methodology in terms of validity and reliability. The influence of mixing induced variability on the data sets generated were eliminated by using encapsulated GIs. METHODS Specimen groups of 40 (eight batches of n=5) cylinders (6...

When there are several replicates available at each level combination of two factors, testing non-additivity can be done by the usual two-way ANOVA method. However, the ANOVA method cannot be used when the experiment is unreplicated (one observation per cell of the two-way classification). Several tests have been developed to address non-additivity in unreplicated experiments starting with Tuke...

The purpose of this research is to find out the influence role play technique and learning motivation towards tenth grade students’ speaking ability at Mandiri vocational school Palembang. To know in study, students were assessed by oral test. test was analyzed using descriptive statistic, normality, homogeneity, pair sampled t-test, independent sample t-test two way ANOVA. Based on result AN...

Introduction the aim of the present study was to evaluate the influence of propylene glycol (PG) on the flowability, microhardness, pH and calcium ion release of calcium-enriched mixture (CEM). Methods and Materials CEM cement was mixed with different proportions of PG, as follows: group 1,100% CEM liquid (CL); group 2, 100% PG; group 3, 50% PG and group 4, 20% PG. For assessment of flowabili...

In this work, we present a simple robust method for the detection of atypical observations and the analysis of their effect in the ANalysis Of VAriance framework. In particular we will relate to the multi-way ANOVA, as an extension of the work by Bertaccini and Varriale (2007). The key statistic in the ANOVA is the F test of group means’ differences. The test is very powerful under classical as...

Many microarray experiments have factorial designs, but there are few statistical methods developed explicitly to handle the factorial analysis in these experiments. We propose a bootstrap-based non-parametric ANOVA (NANOVA) method and a gene classification algorithm to classify genes into different groups according to the factor effects. The proposed method encompasses one-way and two-way mode...