All the curves and diagrams were made by using the Graph Pad Prism 5 Program (GraphPad). Data were shown as the mean ± standard deviation (SD) and analyzed by Student’s t-test. p < 0.05 was considered statistically significant.
Graph pad prism 5 program
Manufactured by GraphPad
Sourced in United States
GraphPad Prism 5 is a data analysis and graphing software. It provides tools for scientific data analysis, including curve fitting, statistical analysis, and creating publication-quality graphs.
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Lab products found in correlation
5 protocols using graph pad prism 5 program
1
Graphical Data Analysis Protocol
2
Analyzing C. albicans Virulence in G. mellonella
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Analysis of variance (ANOVA) and the Tukey test were used for the CFU/mL and biomass quantification of the in vitro biofilm formation tests, to analyze the presence of C. albicans in G. mellonella hemolymph, and for histological analysis of G. mellonella. The scores obtained by the analysis of in vitro filamentation were compared by the Kruskal-Wallis and Dunn’s test. A survival curve was constructed to analyze the survival of G. mellonella and differences were estimated by the log-rank method (Mantel-Cox). All analyses were performed using the Graph Pad Prism 5 Program and a level of significance of 5% was adopted.
3
Comprehensive Statistical Analysis Techniques
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Statistical analyses were performed using SPSS 21.0 IBM® and the GraphPad Prism 5
program (GraphPad Software, Inc. 2007). Continuous variables were tested for
normality with the Kolmogorov–Smirnov and Shapiro–Wilk tests. The values are
expressed as median and percentiles 25 and 75 for non-parametric data. The
categorical data are presented as absolute values and percentages and were
tested using Pearson χ2 test and Fisher exact test, if applicable.
Non-parametric data were compared using the Mann–Whitney U test with a
Bonferroni correction for two independent samples. The association between
continuous variables was performed by using Spearman Correlation and the good
performance or linearity was determined by “r” square value ≥ 0.8. Multiple
Linear Regression adjusted for clinical factors and expressed by “B” coefficient
and confidences intervals performed the predictive model for a continuous
variable. The value of p < .05 was considered statistically
significant and graphic correlations were performed by non-Linear
regression.
program (GraphPad Software, Inc. 2007). Continuous variables were tested for
normality with the Kolmogorov–Smirnov and Shapiro–Wilk tests. The values are
expressed as median and percentiles 25 and 75 for non-parametric data. The
categorical data are presented as absolute values and percentages and were
tested using Pearson χ2 test and Fisher exact test, if applicable.
Non-parametric data were compared using the Mann–Whitney U test with a
Bonferroni correction for two independent samples. The association between
continuous variables was performed by using Spearman Correlation and the good
performance or linearity was determined by “r” square value ≥ 0.8. Multiple
Linear Regression adjusted for clinical factors and expressed by “B” coefficient
and confidences intervals performed the predictive model for a continuous
variable. The value of p < .05 was considered statistically
significant and graphic correlations were performed by non-Linear
regression.
4
DMBA-Induced Tumor Inhibition by Aegle marmelos
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Results are presented as Mean ± Standard Error Mean (SEM). The significance between DMBA treated and Aegle marmelos treated group for tumor volume were analysed by Two-way Analysis of Variance (ANOVA) using time & drug as the two factors. The significance between control and treated group for all other parameters were analysed by One-way Analysis of Variance (ANOVA) followed by Tukey's multiple comparison test. The value P < 0.05 was considered statistically significant. The analysis were done using GraphPad Prism 5 Program (GraphPad Software, Inc., San Diego, USA).
5
Statistical Analysis of Experimental Data
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Statistical analyses were performed on GraphPad Prism 5 Program (GraphPad Software, Inc, La Jolla, CA, USA) using the non-parametric Mann-Whitney test (α = 0.05) or the parametric one-way ANOVA test (α = 0.05). The results were presented by asterisks that indicate significant differences between mean values: * (P < 0.05), ** (P < 0.01), *** (P < 0.001), **** (P < 0.0001).
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