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Spss statistics statistical software

Manufactured by IBM
Sourced in United States

SPSS Statistics is a software package used for statistical analysis. It provides a wide range of data manipulation, visualization, and statistical analysis tools. SPSS Statistics is designed for professional researchers and analysts to analyze and interpret data.

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3 protocols using spss statistics statistical software

1

Stress Responses in Plant Species

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The statistical analyses of the data were performed using SPSS Statistics statistical software (IBM SPSS Statistics) and Statgraphics Centurion XVI (Statgraphics Technologies, The Plains, VA, USA).
Analysis of variance (one-way ANOVA) was used to estimate the effects of the stress treatments on the traits analysed for each species. The Tukey test was used as a post hoc test, at p-value of 0.05 (p < 0.05), to analyse the differences if the null hypothesis was rejected. Principal Component Analyses were performed separately for germination and plant growth, considering the mean values of significant growth and biochemical parameters determined for plants of the four investigated species subjected to the different treatments.
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2

Abiotic Stress Responses Analysis

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Each stress treatment was repeated at least twice. The abiotic treatments were repeated at least twice with three biological replicates for each line, and the results of a representative experiment are shown. The values presented are means ± SE, and analyzed via IBM SPSS Statistics statistical software (Version 19). Statistical differences were compared with a one-way analysis of variance (ANOVA) based on LSD’s multiple range test at significance level of P < 0.05 (*), P < 0.01 (**) and P < 0.001 (***).
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3

Metabolic Profiling and Pathway Analysis

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The data obtained from metabolic profiling were scaled to unit variance (UV) and then principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were implemented using SIMCA-P + 12.0 software (Umetrics AB, Sweden). The PCA output provided an overview of the data, and the PLS-DA output was presented as a score plot to demonstrate the difference. All data were analyzed using IBM SPSS Statistics statistical software (version 24.0; IBM Corp, Armonk, NY, USA), and a Student's t-test was performed to determine significant differences and to illustrate the metabolite map. PathVisio 3.0.0 (https ://pathv isio.githu b.io) was used to visualize metabolic pathways based on a modified Arabidopsis metabolic pathway downloaded from WikiPathways [AtMetExpress overview (Arabidopsis thaliana)]. Pearson's correlation analysis and hierarchical cluster analysis (HCA) were performed using MetaboAnalyst (https ://www.metab oanal yst.ca/).
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