The mean ± SD was used to present all data. Statistical analysis was performed using one-way ANOVA, and multiple comparisons were conducted using Duncan’s multiple range test. SPSS PASW Statistic v.23.0 (SPSS Inc., Chicago, IL, USA) was used for statistical analysis, and p < 0.05 was considered statistically significant.
Spss pasw statistic v 23
Manufactured by IBM
Sourced in United States
SPSS PASW Statistic v.23.0 is a software application designed for advanced statistical analysis. It provides a range of analytical tools for data management, exploration, modeling, and reporting. The software is suitable for a variety of research and business applications that require in-depth statistical analysis.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using spss pasw statistic v 23
1
Evaluating Biochemical Responses to Interventions
2
Measuring Protein Expression in Cells
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All data are expressed as the mean ± standard deviation (SD). Significant differences were determined using one-way analysis of variance (ANOVA) and Duncan’s multiple range test (SPSS PASW Statistic v.23.0, SPSS Inc., Chicago, IL, USA). Statistical significance was determined at P < 0.05.
3
Evaluating Statistical Significance in Research
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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 analysis of variance (ANOVA) using SPSS statistical procedures (SPSS PASW Statistic v.23.0, SPSS Inc., Chicago, IL, USA). When the data were subjected to prior investigations before analysis, parametric assumptions including homoscedasticity and normality of observations were satisfied. Differences were considered to be statistically significant at p < 0.05 level.
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