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Systat 8

Manufactured by IBM
Sourced in United States

Systat 8.0 is a statistical analysis software package developed by IBM. It provides a range of analytical tools for data exploration, modeling, and visualization. The software is designed to assist researchers, analysts, and professionals in various fields with their data analysis needs.

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Lab products found in correlation

7 protocols using systat 8

1

Spatiotemporal Analysis of Factors

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We used analysis of variance post-analysis (post hoc Tukey’s honest significant difference test) to analyze spatiotemporal differences between sites, and performed correlation analysis between factors using Spearman’s rank analysis. The data were statistically processed using SYSTAT® 8.0 (SPSS Inc., Chigaco, IL, USA) [50 ], and significance was set at α = 0.05.
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2

Pharmaceutical Viscosity Variation Analysis

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Statistics were performed using the SYSTAT package (SYSTAT 8.0; SPSS). Qualitative variables are presented as absolute and relative frequencies. Continuous variables are presented in the text as median (interquartile range, 25-75) or mean±SD according to normality and mean±SEM in figures. Homogeneity of the measured parameters at baseline before the different administration sequences was assessed using 2 methods, an ANCOVA and a mixed model with the subject as cofactor. The effects of each pharmacological agent on measured parameters were assessed using paired t test or Wilcoxon matchedpairs signed-rank test as appropriate. The effect of combination of inhibitors versus inhibitors alone on the variation of relative viscosity was assessed by using a mixed model analyze with the subject as cofactor followed by Bonferroni post-test. Variations of W E and W V were expressed in percent change from baseline and the comparison of the effect of each inhibitor on these variations was assessed using paired t test. A value of P<0.05 was considered statistically significant.
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3

Salts Impact on Plant Physiology

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All data were analysed by one-way analysis of variance (ANOVA) with the salt concentration as the grouping factor. Separate ANOVAs were performed for each of four salt types and concentrations: NaCl (0, 100, 200, 300, 400 mM); KCl (0, 2.54, 5.08, 7.62, 10.16 mM); CaCl2 (0, 2.54, 5.08, 7.62, 10.16 mM) and MgCl2 (0, 13.36, 26.72, 40.09, 53.46 mM). The response variables for these ANOVAs were: seed germination, seedling growth, enzyme activities, ion contents and root morphology. Since salt concentration had five levels, on all significant ANOVAs we performed Tukey's multiple comparison tests to compare all pairs of means. The germination percentage data were previously subjected to arcsine transformation but are reported in tables as untransformed values. All data collected were statistically analysed using SYSTAT 8.0 software (SPSS Inc.).
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4

Seed Germination and Antioxidant Response to Salinity

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For experiments with S. maritima, five replicates of 120 seeds were used. Reduced GSH and glutathione disulfide (GSSH) values were tested for significance with one-way ANOVA (P > 0.05). Germination values were arcsine transformed before tested with one-way ANOVA and post-hoc analysis of LSD (P < 0.05).
For experiments with S. europaea and T. pannonicum seedlings, five replicates of 50 seeds were used. All data were analysed by one-way ANOVA with the salt concentration as the grouping factor. The response variables for these ANOVAs were seed germination, total antioxidant activity, total phenol and enzyme activities. Since salt concentration had four levels, on all significant ANOVAs we performed the Tukey multiple comparison test to compare all pairs of means. The germination percentage data were previously subjected to arcsine transformation and were reported in tables as untransformed values. All data collected were statistically analysed using SYSTAT 8.0 software (SPSS, Inc.).
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5

Statistical Analysis of Research Data

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The Statistical software namely SPSS 11.0 (IBM, Armonk, New york) and Systat 8.0 (IBM) were used for the analysis of the data and Microsoft Word and Excel have been used to generate graphs, tables, etc. If P < 0.05 Statistical Significance at 5% and P < 0.01 Statistical significance at 1%.
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6

Prevalence of Blood Groups

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Data were analyzed using the statistical software, namely, Statistical Package for the Social Sciences (SPSS, Version 16, IBM Analytics) and Systat 8.0. Microsoft word and Excel have been used to generate graphs and tables.
Chi-square tests have been used to test the significance of the prevalence of blood groups. The odds ratio has been used to find the strength of relationship between prevalence.
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7

Statistical Data Analysis Protocol

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The statistical software namely SPSS 11.0 and Systat 8.0 (IBM) were used for the analysis of the data, and Microsoft word and Excel have been used to generate graphs, tables etc.
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