Data collected on various growths, yield, and yield components were subjected to Analysis of Variance (ANOVA) by using statistical analysis system software (SAS, 9.1 versions), and mean separation was carried out using the least significant difference (LSD) test at 5% level of significance when the analysis of variance indicated the presence of significant differences. Also, correlation analysis was done to determine the relationship between plant growth parameters and yield and yield components as affected by rates of NPSB fertilizer and maize varieties using SAS, 9.1 versions.
Sas 9.1 version
Manufactured by SAS Institute
SAS 9.1 is a software package for statistical analysis and data management. It provides a comprehensive set of tools for data processing, analysis, and reporting. The core function of SAS 9.1 is to enable users to efficiently manage, analyze, and transform data from various sources to generate meaningful insights and reports.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using sas 9.1 version
1
Analyzing Maize Growth, Yield, and Fertilizer
2
Comparison of Treatment Outcomes
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Data collection and analysis were conducted according to the principles of intended treatment. Standard statistical techniques were used to characterize each group of patients. Enumeration data were compared between both groups using chi-square test. Measurement data followed normal distribution was compared with t-test. Measurement data followed nonnormal distribution was compared with rank sum test. Measurement data were expressed as means ± standard deviation. SAS 9.1 version was used for statistical analysis. All the statistical tests were bilateral, with a significance level of 0.05. Statistically significant differences were considered when P < 0.05 [30 (link)].
3
One-way ANOVA Statistical Analysis
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All statistical analyses were performed in SAS 9.1 version for Windows. A one-way analysis of variance was performed on each group, and the results have been expressed as mean ± standard error (SE). Comparisons between groups were performed using a post hoc least significant difference test. p values of < 0.05 and < 0.01 were considered statistically significant.
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