Statistical analysis was performed using IBM SPSS Statistic 22 for Windows (IBM Inc, Armonk, NY). Kolmogorov–Smirnov test was applied to investigate the normality assumption of the variables. Nominal data were expressed as the percentage, and Pearson Chi square test was used to find the differences between the 2 groups. The results are presented as mean (±SD). Differences in the scale data between the 2 groups were assessed using the student’s t test. Repeated measures ANOVA was used to assess perioperative changes in platelet count and function. Correlation between the scales variables was assessed with Pearson's correlation coefficient (r). P-values less than 0.05 were considered statistically significant.
Spss statistic 22 for windows
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SPSS Statistics 22 for Windows is a comprehensive software package designed for statistical analysis. It provides a wide range of tools and features to help users analyze and interpret data. The software supports a variety of data types and can be used for tasks such as descriptive statistics, regression analysis, and hypothesis testing.
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Lab products found in correlation
2 protocols using spss statistic 22 for windows
1
Perioperative Platelet Dynamics Analysis
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Statistical analysis was performed using IBM SPSS Statistic 22 for Windows (IBM Inc, Armonk, NY). Kolmogorov–Smirnov test was applied to investigate the normality assumption of the variables. Nominal data were expressed as the percentage, and Pearson Chi square test was used to find the differences between the 2 groups. The results are presented as mean (±SD). Differences in the scale data between the 2 groups were assessed using the student’s t test. Repeated measures ANOVA was used to assess perioperative changes in platelet count and function. Correlation between the scales variables was assessed with Pearson's correlation coefficient (r). P-values less than 0.05 were considered statistically significant.
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Statistical analysis was performed using IBM SPSS Statistic 22 for Windows (IBM Inc, Armonk, NY). Kolmogorov–Smirnov test was applied to investigate the normality assumption of the variables. Nominal data were expressed as the percentage, and Pearson Chi square test was used to find the differences between the 2 groups. The results are presented as mean (±SD). Differences in the scale data between the 2 groups were assessed using the student’s t test. Repeated measures ANOVA was used to assess perioperative changes in platelet count and function. Correlation between the scales variables was assessed with Pearson's correlation coefficient (r). P-values less than 0.05 were considered statistically significant.
2
Dietary Silicon Impacts Aortic Biomechanics
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Results are expressed as means ± SDs, unless otherwise stated. All 3 dietary silicon groups were compared with each other. One-factor ANOVA was used to compare means for feed intake, water intake, serum lipid concentrations, deposition of fatty lesions, aortic circumference, aortic collagen concentration, and aortic elastin concentration. Significant difference was taken as P < 0.05. The independent samples Kruskal-Wallis test with pairwise comparison was used to assess the means for silicon intake, total serum silicon concentration, and aorta silicon concentration because these data were not normally distributed. Significance was taken as P < 0.05. Repeated-measures ANOVA was used to assess body weight over the study period and biomechanic measures (i.e., maximum tear force, elasticity, and circumference) along the 7 aortic positions, with significant group differences taken as P < 0.05. Bonferroni post hoc analysis was used to determine the significant differences in maximum tear force. All statistical analysis was conducted in IBM SPSS Statistic 22 for Windows.
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