All data are expressed as mean ∓ SEM. SigmaPlot®12.5 for windows (SPSS, Chicago, IL. USA) was used to determine statistical significance. Differences in blood glucose levels, discrimination index, numbers of FJC-positive cells, and serum levels of TNF-α and IGF-1 were compared by one-way analysis of variance (ANOVA), followed by post hoc analysis using the Holm-Sidak method. Differences between groups were considered statistically significant when P < 0.05. Both of these studies were done twice. The data were not pooled, and represent the results of a single study.
Sigmaplot 12.5 for windows
Manufactured by IBM
Sourced in United States
SigmaPlot®12.5 for windows is a data analysis and graphing software developed by Systat Software, Inc. It is designed to help users efficiently analyze data, create high-quality graphs and plots, and generate reports. The software provides a range of tools and features to support scientific and technical data analysis across various fields.
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Lab products found in correlation
2 protocols using sigmaplot 12.5 for windows
1
Evaluating Neurological Biomarkers
2
Statistical Analysis of FFR Decontamination
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To examine statistical differences in FE and FE stability of FFRs for different particle sizes and over multiple VHP decontamination cycles, the parametric one-way pepeated measures analysis of variance test was used to detect significant differences in the means values for each set of data. In case the data did not pass the Shapiro–Wilk normality test, the nonparametric Friedman repeated measures analysis of variance on ranks test, which compares medians, was applied. The percent uncertainty of the particle counter at each particle size was calculated by dividing the absolute uncertainty (standard error) by the average of measurements multiplying by 100. All the statistical analyses were performed using SigmaPlot 12.5 for Windows (SPSS Inc., Chicago, IL, USA).
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