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Sigmaplot version 13

Manufactured by IBM
Sourced in United States

SigmaPlot version 13.0 is a powerful data analysis and graphing software. It provides a wide range of tools for data visualization, curve fitting, and statistical analysis. The software is designed to help users efficiently analyze and present their data in professional-quality plots and graphs.

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Lab products found in correlation

4 protocols using sigmaplot version 13

1

Colony Count Data Analysis

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The colony count data was analyzed using SigmaPlot version 13.0 (SPSS Inc., Chicago, USA). The differences between all groups were evaluated by Kruskal–Wallis one‐way ANOVA on ranks, followed by all‐pairwise‐multiple‐comparison Student‐Newmns‐Keuls Method. The differences between two experimental groups were assessed by a Mann–Whitney rank sum test. Results were considered statistically significant when p ≤ .05. Values are presented as median with 25th and 75th percentiles.
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2

Leaf Characteristics Comparative Analysis

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This experiment used Sigmaplot version 13.0 (SPSS Inc., Chicago, IL, USA) and EXCEL 2007 (Microsoft® Office Excel 2007) for statistical analyses. For each leaf characteristic in each treatment, an analysis of variance was used to test whether there were significant differences between the various positions or varieties.
If a significant difference was found, post hoc tests were used to determine the differences between the treatments.
Before the ANOVA tests, a homogeneous test was performed to test whether the amount of variation between the treatments was equal. If the variance was equal, Tukey’s test was used for the post hoc test.
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3

Comparative Analysis of Contrast Agents

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The statistical calculations were carried out by SigmaPlot version 13.0 (SPSS Inc, Chicago, IL). The maximum signal intensity (i.e., mean of three highest signal intensities per condition) of the three contrast agents was calculated. First, the maximum signal intensity of the three contrast agents was compared for each pulse sequence separately using one-way ANOVA followed by a Tukey's post-hoc test. Second, the maximum signal intensities were compared over all T1-weighted sequences in bile (T1-weighted SE, T1-weighted TFE, 3D-mFFE, mGraSE, STIR, eTHRIVE) using a one-way ANOVA followed by a Tukey's post-hoc test. A p-value of < 0.050 was deemed statistically significant. In the figures, significant differences between the three contrast agents are presented as follows:
* = significantly higher maximum signal intensity of the contrast agent than both other contrast agents; +  = significantly higher maximum signal intensity than the contrast agent with the lowest maximum signal intensity;
* or +  = p < 0.050;
** or +  +  = p < 0.010;
*** or +  +  +  = p < 0.001.
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4

Statistical Analysis of Dental Materials

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Because of their homogeneity of variance (Bartlett's test) and normal distribution (Kolmogorov-Smirnov test), the data for each material were subjected to analysis of variance (ANOVA) followed by Tukey's honestly significant difference (HSD) test at a significance level of 0.05. Two-way ANOVA followed by Tukey's HSD test (α=0.05) was used for the analysis of the σ F, E, and KIC of the provisional resin-based composites. MD and VL values after the simulated wear test were analyzed using one-way ANOVA followed by Tukey's HSD test (α=0.05). To understand the inter-relationships between the tested parameters, the Pearson product-moment correlation coefficient was used for pairwise comparisons. Statistical analyses were performed using a software system (Sigma Plot version 13.0, SPSS, Chicago, IL, USA).
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