Test of the Randomness of Residuals for the von Bertalanffy model Fitting P. aeruginosa Growth Inhibition by Phytochemicals from Adantum philippensis Extract

Abstract

Numerous publications ignore statistical diagnosing of the nonlinear model utilized, and the data might be nonrandom- an essential necessity for all of the parametric statistical evaluation approaches. In cases where the diagnostic tests demonstrate that the residuals reveal a pattern, then a variety of remedies for example nonparametric analysis or shifting to another model should cure the problem. In order for randomness to be met we perform the Wald–Wolfowitz runs test statistical diagnosis tests. In this study, a test for the randomness of the residual for the von Bertalanffy model used in fitting the growth of Pseudomonas aeruginosa biofilm in the presence of the phytochemicals from the plant Adantum philippensis was carried out using the Wald–Wolfowitz runs test. The number of runs was 13, the expected number of runs under the assumption of randomness was 7.514, indicating the series of residuals had adequate runs and as the p-value was greater than 0.05, the null hypothesis is not discarded, suggesting no compelling proof of non-randomity of the residues.