The mean ± standard deviation (SD) was used to present all data. To analyze the data, a one-way Duncan’s multiple range test was performed, followed by a one-way analysis of variance (ANOVA) or Student’s t-test for a two-sample comparison, utilizing SPSS statistics software (SPSS PASW Statistic 23.0, SPSS Inc., Chicago, IL, United States). Statistical significance was determined as p < 0.05.
Spss pasw statistic 23
Manufactured by IBM
Sourced in United States
SPSS PASW Statistic 23.0 is a statistical software package developed by IBM. It provides various statistical analysis tools for data management, analysis, and visualization. The software offers a wide range of analytical techniques, including regression analysis, hypothesis testing, and data mining. SPSS PASW Statistic 23.0 is designed to handle large datasets and provides a user-friendly interface for researchers, analysts, and statisticians.
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Lab products found in correlation
5 protocols using spss pasw statistic 23
1
Statistical Analysis of Experimental Data
2
Comparative Statistical Analysis Protocol
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All data are presented as the mean ± standard deviation (SD). Statistical analyses were performed using a one-way Duncan’s multiple range test, followed by one-way analysis of variance (ANOVA) or Student’s t-test for two-sample comparison using the SPSS statistics software (SPSS PASW Statistic 23.0, SPSS, Inc., Chicago, IL, USA). Statistical significance was set at p < 0.05.
3
Nutrient Uptake Dynamics in Plants
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All data are presented as mean ± standard deviation (SD). The data were statistically evaluated by Duncan’s multiple range test after one-way ANOVA using SPSS statistical procedures (SPSS PASW Statistic 23.0, SPSS, Inc., Chicago, IL, USA). Statistically significant differences were considered at p < 0.05.
4
Comparative Analysis of Antioxidant Compounds
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All data are presented as mean ± standard deviation (SD). The data were statistically evaluated using Duncan’s multiple range tests after one-way ANOVA using SPSS statistical procedures (SPSS PASW Statistic 23.0, SPSS Inc., Chicago, IL, USA). Statistically significant differences were considered at the p < 0.05 level.
5
Statistical Analysis of Experimental Results
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The experimental results were expressed as mean ± standard deviation (SD). Statistical analysis was conducted using a one-way ANOVA or t-test using SPSS statistical procedures for Windows (SPSS PASW Statistic 23.0, SPSS Inc. Chicago, IL, USA), and Duncan’s multiple range test was used to examine the differences among the groups and a p < 0.05 was considered significant.
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