All statistical analyses were performed using Prism 6.0 software (GraphPad), and results are represented as means ± SEM or SD. Survival rates of mice were evaluated using Kaplan-Meier analysis (Prism 6.0). Data between two groups were analyzed by unpaired t test (Prism 6.0) if the data were in Gaussian distribution and had equal variance, by unpaired t test with Welch’s correction (Prism 6.0) if the data were in Gaussian distribution but with unequal variance, or by nonparametric test (Mann-Whitney U test, Prism 6.0) if the data were not normally distributed. Data among more than two groups were analyzed by the one-way analysis of variance (ANOVA) followed by Dunnett multiple comparisons (Prism 6.0) if the data were in Gaussian distribution and had equal variance or analyzed by Kruskal-Wallis followed by Dunn’s multiple comparisons (Prism 6.0) if the data were not normally distributed. The Gaussian distribution of data was analyzed by D’Agostino-Pearson omnibus normality test (Prism 6.0) and Kolmogorov-Smirnov test (Prism 6.0). The variance of data was analyzed by homogeneity of variance test (SPSS 22.0) or Brown-Forsythe test (Prism 6.0). Differences with P < 0.05 were considered significant.
Prism 6
Manufactured by GraphPad
Sourced in United States, United Kingdom, Canada, China, Germany, Japan, Belgium, Israel, Lao People's Democratic Republic, Italy, France, Austria, Sweden, Switzerland, Ireland, Finland
Prism 6 is a data analysis and graphing software developed by GraphPad. It provides tools for curve fitting, statistical analysis, and data visualization.
Automatically generated - may contain errors
Lab products found in correlation
Spss 22, by IBM (209 mentions)
Spss 20, by IBM (164 mentions)
Sas 9, by SAS Institute (145 mentions)
Spss 19, by IBM (109 mentions)
Spss 21, by IBM (93 mentions)
Sas version 9, by SAS Institute (76 mentions)
Matlab, by MathWorks (74 mentions)
Spss version 22, by IBM (62 mentions)
Spss version 20, by IBM (61 mentions)
Spss 24, by IBM (56 mentions)
Spss 23, by IBM (53 mentions)
Spss statistics 20, by IBM (48 mentions)
Spss statistics 22, by IBM (47 mentions)
Microsoft excel, by GraphPad (41 mentions)
Spss 18, by IBM (37 mentions)
Spss statistics 23, by IBM (36 mentions)
Clampfit 10, by Molecular Devices (35 mentions)
Spss 17, by IBM (34 mentions)
Spss statistic, by IBM (34 mentions)
Spss version 23, by IBM (34 mentions)
36 650 protocols using prism 6
1
Statistical Analysis of Experimental Data
2
Shear Bond Strength Analysis of Dental Adhesives
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Statistical analyses were performed with the applications (GraphPad Prism 6.0, GraphPad Software, La Jolla, CA, USA and Kyplot 5.0, KyensLab, Tokyo, Japan). For the shear bond strength data, the median values and interquartile range of the eleven specimens were calculated. The D'Agostino-Pearson omnibus test (GraphPad Prism 6.0) revealed that the shear bond strength data for all groups followed a normal distribution. The Bartlett test (GraphPad Prism 6.0) for evaluation of the equality of variance was also analyzed for the results of shear bond strength. After checking the equality of variance, the results of the shear bond strength did not show homoscedasticity. Hence, the Kruskal-Wallis test (GraphPad Prism 6.0) and Steel-Dwass multiple comparisons (Kyplot 5.0) were performed as non-parametric tests to evaluate the differences among each of the treatments. Steel-Dwass comparison was separately run on the heated and nonheated groups. In addition, the Mann-Whitney U test (GraphPad Prism 6.0) was used to evaluate differences between groups with and without heat treatment. The statistical significance level was set at α=0.05.
3
Statistical Analysis Methods for Neuroscience
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Statistics were performed using Microsoft Excel or GraphPad Prism 6. For statistical comparisons between experiments that were performed on the same population of boutons, Student's t-test was used (2-tailed, paired). In imaging experiments, n refers to the number of multiple experiments performed, with each experiment containing up to 100 regions of interest. Student's t-test (2-tailed, unpaired) was used to analyze all pair wise data sets obtained from boutons under distinct conditions. The Kolmogorov–Smirnov test was used to determine differences in cumulative probability distributions. The chi-square test was used to evaluate the goodness fit of Gaussian distributions to amplitude histrograms. For analysis of multiple comparisons among synaptophysin-pHtomato experiments one-way ANOVA with Bonferroni post hoc analysis was used. For the correlation analysis, both parametric and non-parametric correlation coefficients were determined using GraphPad Prism 6. Linear regression analysis included a test for the hypothesis that the slope = 0, again using GraphPad Prism 6. Finally, the D'Agostino-Pearson omnibus K2 normality test was performed in GraphPad Prism 6.
4
Evaluating Sex Differences in EAE Mouse Model
5
Statistical Analysis of Dental Bonding
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The results of the shear bond strength, surface roughness, the contact angle, and the surface free energy parameter were statistically analyzed. The D'Agostino and Pearson omnibus test (GraphPad Prism 6.0, GraphPad software, La Jolla, CA, USA) and the Brown-Forsythe test (GraphPad Prism 6.0) were first conducted to determine whether a normal distribution was obtained.
Kruskal-Wallis test (GraphPad Prism 6.0) and Steel-Dwass multiple comparisons (Kyplot 5.0, KyensLab, Tokyo, Japan) were performed as nonparametric tests to evaluate the differences among each group because normality and/or dispersion were not distributed as indicated by the D'Agostino and Pearson omnibus test (GraphPad Prism 6.0) and the Brown-Forsythe test (GraphPad Prism 6.0). The statistical significance level was set at α=0.05.
Kruskal-Wallis test (GraphPad Prism 6.0) and Steel-Dwass multiple comparisons (Kyplot 5.0, KyensLab, Tokyo, Japan) were performed as nonparametric tests to evaluate the differences among each group because normality and/or dispersion were not distributed as indicated by the D'Agostino and Pearson omnibus test (GraphPad Prism 6.0) and the Brown-Forsythe test (GraphPad Prism 6.0). The statistical significance level was set at α=0.05.
6
Kinetic Analysis of Enzyme Reactions
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The velocity (v) of all enzyme-catalyzed reactions was obtained by linear fit of initial-velocity data using Prism 6 software from Graphpad (La Jolla, CA). Pre-equilibrium values from the beginning of data sets were removed to provide fluorescence measurements that were linear as a function of time (Fig. 3 ).
Values of v in the absence of an inhibitor were fitted to the Michaelis–Menten equation (eq.1 ) by non-linear regression using Prism 6 software.
In eq1 , [S]o refers to the concentration of substrate 1 prior to the addition of enzyme.
Values of v in the presence of an inhibitor were fitted to Morrison’s equation (eq.2 ) by non-linear regression using Prism 6 software.
In eq2 , vo refers to the reaction in the absence of inhibitor. Enzymatic activity measured in the absence of an inhibitor was used to determine the enzyme concentration for data obtained in the presence of an inhibitor. These enzyme concentrations, which agreed (±10%) with values estimated by active-site titration, were used as constraints for the non-linear regression analysis.
Values of v in the absence of an inhibitor were fitted to the Michaelis–Menten equation (eq.
In eq
Values of v in the presence of an inhibitor were fitted to Morrison’s equation (eq.
In eq
7
Kinetic Analysis of Angiotensin Peptidase Activity
8
Statistical Analysis of In Vivo Experiments
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Student’s t-test, one-way and two-way ANOVA with Tukey’s or Dunn’s post hoc analysis were performed using PRISM 6 from Graphpad. For weight loss during in vivo experiments, two-way ANOVA with Dunnett’s post hoc analysis was performed using PRISM 6. In vivo survival analysis was performed using the Wilcoxon test using PRISM6. A p value <0.05 was considered statistically significant. Data are graphed as the mean +/- the SEM.
9
Statistical Analysis of Research Data
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Statistical analysis was performed using Igor 6 (Wavemetrics, United States) and Prism 6.0 (Graphpad, United States) (∗p < 0.05; ∗∗p < 0.001; ∗∗∗p < 0.001). Potential outliers were identified using the ROUT method as detailed by Brown and Motulsky (2006) (link) and as implemented in Prism 6.0 (Graphpad, United States). Graphical representations were generated using Prism 6.0 (Graphpad, United States) and Adobe Illustrator CS4 (Adobe Systems, United States). Unless otherwise noted data are shown as mean ± SEM.
10
Comprehensive Statistical Analysis of Expression Data
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