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Centurion xvi software

Manufactured by Statgraphics
Sourced in United States

Centurion XVI Software is a comprehensive data analysis and statistical software package developed by Statgraphics. It provides a wide range of statistical techniques and tools for data management, analysis, and visualization. The software is designed to assist researchers, analysts, and professionals in various fields to explore, understand, and interpret their data effectively.

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15 protocols using centurion xvi software

1

Effect of Tilapia Viscera Silage

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The data collected was evaluated at a confidence level of 95% (P < 0,05) by means of the hypothesis test to determine the difference in means using Fisher's LSD (Least significant difference) test with statgraphics centurion XVI software. A Completely Randomized Design was used in this study. There were seven replications for each treatment, and four layer hens in each replication. The treatments were 0 (control), and 32% silage of the viscera red tilapia substitution of basal diet.
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2

Statistical Analysis of Experimental Data

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Data were subjected to analysis of variance (ANOVA) and the LSD test using the statistical program Statgraphics Centurion XVI Software (Statgraphics, Virginia, USA, 2009), with 95% confidence levels (with significance determined by p ≤ 0.05). To verify the statistical significance, mean ± standard of three independent measurements.
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3

Dose-Dependent Metabolic Effects

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All data are presented as means ± SEM from three to five animals for each treatment group. The data collected was evaluated at a confidence level of 95 % by means of the hypothesis test to determine the difference in means using Fisher's LSD (Least significant difference) test with statgraphics centurion XVI software and a p-value <0.05 was considered statistically significant.
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4

Statistical Analysis of Experimental Data

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The results are presented as means and standard deviation (SD), according to the normality of the data. The analysis was performed using the Statgraphics® centurion XVI software (Madrid, Spain).
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5

Fatty Acid Profiling of Extracted Oils

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A principal component analysis was performed with the abundance of the fatty acids identified in the oils obtained by different extraction methods (CO, OEHF and OES). The free software PAST 3.0 was used for the analyses. The difference in means was made using Fisher's LSD (Least significant difference) test with statgraphics centurion XVI software.
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6

Multivariate Analysis of Sunlight Effects

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The loading plot tool in PCA was used to show the relationship between variables and how significant each variable was for each principal component. As well, the score plot was used to identify individuals’ groupings showing a similarity. For better visualization of individuals’ grouping, we have used the hierarchical cluster analysis (HCA) technique which is a graphical representation of a distance matrix. The result of this classification tool is a graph which shows the class-inclusive relations between clusters and the value of the clustering criterion associated with each (Bridges 1966 (link)). To confirm the effect of sunlight exposition on each of studied parameters, a one-way ANOVA test was used. This is a statistical tool used to test the claim that two or more population means are equal. The Unscrambler software (version 9.7) for chemometric analysis was used to perform PCA, while HCA, one-way ANOVA were carried out using Statgraphics Centurion XVI Software.
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7

Optimizing Nanoparticle Formulation Parameters

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A 23+star central composite factorial design was applied to optimize the formulation parameters as described previously [11 (link)]. Three independent variables (concentration of PF (cPF), concentration of solid lipid regarding liquid lipid (cSL/L), and concentration of Tween® 80 (cTW)), and four dependent variables (mean particle size (Z-Ave), polydispersity index (PI), zeta potential (ZP), and entrapment efficiency (EE)) were studied. The variables were analyzed at five different levels coded as −α, −1, 0, 1, and +α. The value of alpha (1.68) was calculated to meet the design rotatability (Supplementary Table S2).
According to the composite central design matrix, generated by Statgraphics® Centurion XVI Software, a total of 16 experiments (eight factorial points, six axial points, and two replicated center points) are summarized in Supplementary Table S3.
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8

Predictive Modeling of Statistical Analysis

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The statistical analysis was carried out with the Statgraphics Centurion XVI Software (Statgraphics, Virgina, U.S.A.). One-Way ANOVA analyses were made in order to find statistically significant differences between the studied parameters. The logistic Traffano-Schiffo model (Traffano-Schiffo et al., 2017) was fitted by using nonlinear regression. Finally, the predictive algorithm was developed using the multiple regression tool.
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9

Predictive Modeling of Statistical Analysis

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The statistical analysis was carried out with the Statgraphics Centurion XVI Software (Statgraphics, Virgina, U.S.A.). One-Way ANOVA analyses were made in order to find statistically significant differences between the studied parameters. The logistic Traffano-Schiffo model (Traffano-Schiffo et al., 2017) was fitted by using nonlinear regression. Finally, the predictive algorithm was developed using the multiple regression tool.
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10

Nonlinear Regression Analysis of Parameters

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The statistical analysis was carried out with the Statgraphics Centurion XVI Software (Statgraphics, Virgina, U.S.A.). One-Way ANOVA analyses were made in order to find statistically significant differences between the studied parameters. The logistic Traffano-Schiffo model (Traffano-Schiffo et al., 2017) was fitted by using nonlinear regression.
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