Statistical analyses were performed with the SPSS Version 19.0 Statistical Software Package (SPSS Inc., Chicago, IL, USA). One-way analysis of variance was used to analyze significant differences in Si content of marsh plants and soils between typical communities and ecotones. Correlations between available Si content and physical and chemical properties were evaluated using Pearson correlation coefficients with a significance level of p = 0.05. Principal component analysis and stepwise linear regression analysis were used to test the major influencing factors of available Si content in marsh soils.
Spss version 19.0 statistical software package
Manufactured by IBM
Sourced in United States
SPSS version 19.0 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data management, statistical analysis, and visualization. The software is designed to help users analyze and interpret data from a wide range of sources, including surveys, experiments, and observational studies.
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Lab products found in correlation
3 protocols using spss version 19.0 statistical software package
1
Analyzing Silicon Dynamics in Marsh Ecosystems
2
Statistical Analysis Methods for In Vitro, In Vivo, and Survival Data
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The Student’s two-tailed T-test determined the statistical significance of in vitro and in vivo data. In addition, the two-tailed χ2 test and Fisher’s exact test determined the statistical significance of covariate differences. The Kaplan–Meier method determined patient survival rates, and comparisons of survival curves was done using the log-rank test. For experimental variables, the Cox proportional hazards model was used to determine multivariate Hazard Ratios (HRs). An alpha value of P <0.05 was considered a statistically significant difference. All statistical analyses were determined by the SPSS version 19.0 statistical software package (SPSS Inc., Chicago, IL, USA).
3
Statistical Analysis of Survival Outcomes
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Statistical analysis was performed using the SPSS version 19.0 statistical software package (SPSS Inc., Chicago, IL, USA). The unpaired Student’s t-test was used to compare groups. Statistically significant differences between groups were determined using the Student’s t-test and the chi-squared (χ2) test. Kaplan-Meier analysis was performed to determine the cumulative patient overall survival (OS). Survival curves were compared using the log-rank test. Differences between groups were analyzed using the Student-Newman-Keuls (SNK) method. A P-value <0.05 was considered to be statistically significant.
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