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The assumptions of Analysis of variance were verified and are found to be valid and then from the ANOVA table the significant parameters are identified and also by using the regression analysis by using Minitab software the mathematical relation for best surface roughness is obtained.
Logarithmic transformations were applied to the data to meet the assumptions of analysis of variance (ANOVA) using Komolgorov Smirnoff's test was used to test the normality and Levene's test to test the homogeneity of variances (Goberna et al. 2005).
Four-day mean preference scores were calculated for each individual and then were arcsin square root transformed, which improved the fit of the data to the normality and variance assumptions of analysis of variance (ANOVA) models.
When the standard assumptions of analysis of variance were not met, even after log10 transformation, we used the non-parametric Scheirer-Ray-Hare extension of the Kruskal-Wallis test (H statistic; [44]).
Data were log transformed when they were not fulfilling the assumptions of analysis of variance (ANOVA).
The assumptions of analysis of variance were tested by inspecting P P plots of the standardized regression residuals.
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The decision was, of course, further complicated by analysis the basic assumption of analysis being (and never mind all the evidence to the contrary) that you're getting better all the time.
The transformed data was tested for normality using PROC NPAR1WAY procedure of Komolgorov Smirnoff's test and also tested for homogeneity of variances using Levene's test before assumption of analysis of variance (ANOVA) was done using the General Linear Model (GLM) procedure of SAS version 9.1 (SAS Institute, Inc., Cary, NC).
Due to skewed distribution, organochlorine residue concentrations were log transformed to satisfy the homogeneity of variance assumption of analysis of variance (ANOVA).
Owing to the presence of outlier values, we log-transformed values for days of hunting and number of birds hunted per year to satisfy the homogeneity of variance assumption of analysis of variance (ANOVA).
The data for this analysis met with the assumptions of parametric analysis.
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