For the study, a completely randomized 3 × 2 factorial design with four replicates was established with three exposure times (2, 14 and 21 days), and without Cu or with 300 mg Cu kg−1. Data sets were analyzed by means of analysis of Variance (ANOVA) of one or two ways. Ln transformation was used when the data sets were not meeting the ANOVA assumptions (homoscedasticity and normality); nevertheless, all results are expressed in their original scale of measurement. Tukey’s multiple range test was used to compare the means of the treatments at 21 days (phenolic compounds). Subsequently, data sets were also subjected to principal component (PC) analyses. Variability in the means was expressed as the standard error and a p < 0.05 was considered statistically significant. The IBM SPSS statistic software v. 22.0 was used for all procedures.
Spss statistic software v 22
Manufactured by IBM
Sourced in United States
SPSS Statistics is a software package used for statistical analysis. Version 22.0 provides a comprehensive set of tools for data management, analysis, and reporting. The software supports a wide range of statistical techniques, including descriptive statistics, regression analysis, and hypothesis testing. SPSS Statistics is a widely used tool for academic and industry research, as well as for business intelligence and decision-making.
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Lab products found in correlation
2 protocols using spss statistic software v 22
1
Copper Exposure Effects on Phenolic Compounds
2
Randomized Design for Comprehensive Analysis
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A fully randomized design with six replicates per treatment was established. Data sets were analyzed by means of one-way analysis of variance (ANOVA). Ln transformation was used when the data sets did not meet the ANOVA assumptions (homoscedasticity and normality); nevertheless, all results are expressed in their original scale of measurement.
Tukey's multiple range post hoc test was used to compare the means of the treatments. Subsequently, data sets were also subjected to principal component (PC) analyses. Variability in the means was expressed as the standard error and a p < 0.05 was considered statistically significant. IBM SPSS statistic Software v. 22.0 (Armonk, NY, USA) was used for all the statistical procedures.
Tukey's multiple range post hoc test was used to compare the means of the treatments. Subsequently, data sets were also subjected to principal component (PC) analyses. Variability in the means was expressed as the standard error and a p < 0.05 was considered statistically significant. IBM SPSS statistic Software v. 22.0 (Armonk, NY, USA) was used for all the statistical procedures.
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