The test and analysis of variance (ANOVA), STAMP10, GraphPad Prism 7, and SPSS V20.0 (IBM Inc., IL, United States) were used to perform statistical analyses. Data were presented as means ± SEM. P < 0.05 was considered significant differences.
Stamp10
Manufactured by IBM
Sourced in United States
STAMP10 is a high-precision laboratory equipment designed for advanced manufacturing processes. It offers accurate and reliable measurements essential for quality control and process optimization. The core function of STAMP10 is to provide precise dimensional analysis and metrology capabilities to support research and development activities across various industries.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using stamp10
1
Statistical Analysis of Experimental Data
2
Statistical Analyses of Growth Performance
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Statistical analyses were performed using the t-tests and analysis of variance (ANOVA) with JMP pro (SAS Institute Inc., NC, United States), STAMP10 and SPSS V20.0 (IBM Inc., IL, United States). Data of growth performance are presented as the means ± SEM. Differences were considered significant at P < 0.05.
The Wilcoxon rank-sum test was used to analyze the significant different taxa between different groups. Wilcox.test was used between two groups analysis, and kruskal.test was used among three groups analysis. In the multiple testing, P-value correction via the Benjamini–Hochberg false discovery rate (FDR) was performed and FDR < 0.1 was considered significant.
The Wilcoxon rank-sum test was used to analyze the significant different taxa between different groups. Wilcox.test was used between two groups analysis, and kruskal.test was used among three groups analysis. In the multiple testing, P-value correction via the Benjamini–Hochberg false discovery rate (FDR) was performed and FDR < 0.1 was considered significant.
3
Statistical Analysis of Experimental Data
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All experimental data are expressed as the average with standard deviation of at least three independent replicates. Statistical analyses were performed using the t-test and analysis of variance (ANOVA), JMP pro (SAS Institute Inc., NC, US), STAMP10, and SPSS V20.0 (IBM Inc., IL, US). Significant differences were considered at P < 0.05.
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