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210 protocols using prism 6 for windows

1

Statistical Analysis of Experimental Data

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Statistical analyses were performed using Prism 6 for Windows (GraphPad Software, Inc.). For pairwise comparisons, independent unpaired two-sample t-tests were performed except when population proportions were compared. In these instances, a Chi-square test of independence was performed. All correlations were assessed using Pearson’s Correlation and R2 and p-values were reported. A p-value < 0.05 was considered significant, and Prism’s suggested significance classification scheme was followed (**p< 0.01) and (* p < 0.05).
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2

Quantifying Cardiac Fibrosis and OSM

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All data are shown as average with SD. Comparison between two groups was analyzed using unpaired two-tailed t-test with Welch’s correction. Differences among more than two groups were analyzed using one-way or two-way ANOVA followed by Dunnett’s multiple comparisons test or Sidak’s multiple comparison test or Kruskal–Wallis test. P -values of less than 0.05 were considered to be statistically significant. Kaplan–Meyer analysis, followed by a long-rank test, was used to analyze the survival of mice. Linear regression analysis was used for the correlation between percent of fibrotic area and the number of OSM-positive cells in the heart tissues. All statistical analyses were performed using Prism 6 for Windows (version 6.07, GraphPad, San Diego, CA, USA).
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3

Statistical Analysis of Experimental Data

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Data were analyzed by GraphPad Prism 6 for Windows, version 6.04, and an unpaired Student's t test was used for evaluation of statistical significance. A P value of <0.05 was considered statistically significant. Error bars in the graphs show the standard errors of the means.
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4

Statistical analysis

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Data are presented as mean ± SEM. Prism 6 for Windows (GraphPad Software Inc, La Jolla, CA, USA) was used for statistical analyses. For comparisons between genotypes, unpaired two-tailed Student’s t tests were used. Results were considered significant if P<0.05.
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5

Nonparametric Statistical Analysis

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Data were analyzed using Prism 6 for Windows from GraphPad Software Inc,
using Kruskal-Wallis or Mann-Whitney tests.
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6

Quantitative Analysis of Protein Levels

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Al data are presented as means and the error bars indicate the standard deviations. The results from the flow cytometry and the quantification of the results from the Western blots were analyzed using ANOVA and post-hoc Dunnett’s multiple comparisons tests. The analysis was performed using Prism 6 for Windows (GraphPad Software Inc., La Jolla, CA, USA).
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7

Saline and LPS Comparison Protocol

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The data for Saline and LPS groups were expressed as a fold change of the mean ± SEM to the mean of the Saline group. These data were analysed by using Prism 6 for Windows (Version 6.01, GraphPad Software, Inc., La Jolla, CA, USA). The data were analysed using two-tailed unpaired parametric Student’s t-test. All differences were considered to be significant at p < 0.05.
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8

Statistical Analysis of Experimental Data

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Statistical analyses were performed using Prism 6 for Windows (Graph Pad) and comparisons between groups were performed using the Wilcoxon rank-sum statistic (Mann-Whitney). Correlations were calculated using the Spearman’s rank correlation. The multiple regression analyses were performed with SAS (version 9.3, SAS Institute).
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9

Nonlinear Regression Analysis of Milk Coagulation

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The nonlinear regression was performed using “Prism 6 for Windows” software (version 6.03, GraphPad Software Inc., CA, USA) in order to assume that the RCA and RMCA (%) follow the Gaussian distribution.
The one-way analysis of variance (ANOVA) was executed using DSTAT meta-analytic software [20 ]. The data obtained were analyzed for statistical significance for testing the: (i) effects of the single factors (extraction rate) on the MCA; (ii) significant differences between the curd yield parameters (CYF, CYS and CYW), at each temperature incubation, considering the independent factors (coagulant and milk types). Tukey’s comparison was used to verify the significance between groups. A p-value ≤ 0.05 was considered significant.
The results are reported as the means ± standard deviations.
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10

Statistical Analysis of MDA Titers

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Lineal regression equations for the GM of MDA titers versus time were calculated. The normal distribution of the data was assessed with the Kolmogorov–Smirnov and D’Agostino–Pearson tests. The Kruskal–Wallis test was used to compare antibody titers among the six groups of animals and Dunn’s multiple comparison test was used to look for individual differences among groups. The Mann–Whitney test was applied to compare antibody titers between two groups. The statistical package GraphPad Prism 6 was used for the entire analysis (Prism 6 for Windows, Version 6.01, GraphPad Software, Inc., La Jolla, USA). Statistical significance was considered when p < 0.05.
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