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Sas statistical software release 8

Manufactured by SAS Institute
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SAS statistical software Release 8.2 is a comprehensive data analysis and reporting tool developed by SAS Institute. It provides advanced statistical capabilities for data management, analysis, and visualization. The software offers a wide range of analytical techniques and is designed to handle large and complex data sets.

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SAS software (6040 citations) SAS statistical software (1676 citations) SAS 8.2 (473 citations) SAS Release 8.02 (12 citations) SAS statistical software (8.2, (5 citations) SAS software release 8.2 (3 citations)

3 protocols using sas statistical software release 8

1

SAS-Based Comparative Data Analysis

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The data analysis was performed with the SAS statistical software Release 8.2 (SAS Inst., Cary. N.C., USA). The differences between the control and the Si treatment were tested by Student’s t-test (P ≤ 0.05). Moreover, data from the quantitative RT-PCR results were analyzed by Duncan’s test (P ≤ 0.05).
Hu J., Cai X, & Jeong B.R. (2019). Silicon Affects Root Development, Tissue Mineral Content, and Expression of Silicon Transporter Genes in Poinsettia (Euphorbia pulcherrima Willd.) Cultivars. Plants, 8(6), 180.
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2

Statistical Analysis of Experimental Data

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The SAS statistical software, Release 8.2, (SAS Inst., Cary. N.C., USA) was used for the statistical analysis, followed by an analysis of variance (ANOVA) and a Tukey′s test (p ≤ 0.05).
Hu J., Li Y, & Jeong B.R. (2020). Putative Silicon Transporters and Effect of Temperature Stresses and Silicon Supplementation on Their Expressions and Tissue Silicon Content in Poinsettia. Plants, 9(5), 569.
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3

Statistical Analysis of Experimental Data

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The SAS statistical software, release 8.2 (SAS Inst., Cary, NC, USA) was used for the statistical analysis according to the analysis of variance (ANOVA) and Duncan's multiple range test at a significance level of p = 0.05, F-test was also calculated based on Fisher's least significant difference test at a threshold of p = 0.05. Pearson's correlation coefficient was calculated by SPSS 17.0 software (SPSS Inc., Chicago, IL, USA).
Li Y., Xiao J., Hu J., & Jeong B.R. (2020). Method of Silicon Application Affects Quality of Strawberry Daughter Plants during Cutting Propagation in Hydroponic Substrate System. Agronomy, 10(11), 1753-1753.
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