Spss statistic package version 17

Manufactured by IBM

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SPSS Statistics Package Version 17.0 is a comprehensive software suite for statistical analysis. It provides a wide range of statistical techniques for data manipulation, analysis, and visualization. The software is designed to handle large datasets and offers a user-friendly interface for researchers, analysts, and data scientists.

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SPSS statistics package version 17.0 Statistic Package for Social Science (SPSS) version 17 SPSS statistic version 17.0 SPSS Statistics version 17.0 SPSS Statistics 17.0 SPSS Statistic 17.0 SPSS Statistics package SPSS Statistics, version SPSS version 17.0 Statistics 17.0

2 protocols using spss statistic package version 17

Field and Greenhouse Experiment Analysis

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For the field experiment, data were analyzed using ANOVA test processed by SPSS statistic package Version 17.0 (Hu et al., 2016a) . Differences between mean values were determined by the least significant difference (LSD) test. All analyses of significance were made at the P < 0.05 level.
All figures were drawn by Origin 8.0.
For the greenhouse experiment, there were no significant differences between the results collected from the two growth chambers, so the results from the growth chambers were pooled. All data were subjected to ANOVA test with SPSS statistic package Version 17.0. Means were separated using LSD test at P = 0.05. All figures were drawn by Origin 8.0.

Hu W., Coomer T.D., Loka D.A., Oosterhuis D.M, & Zhou Z. (2017). Potassium deficiency affects the carbon-nitrogen balance in cotton leaves. Plant physiology and biochemistry : PPB, 115.

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Three-Way ANOVA Analysis of Experimental Data

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The data were analyzed using a three-way analysis of variance (ANOVA), as implemented in the SPSS statistic package Version 17.0 (SPSS Inc., Chicago, IL, USA), and the differences between the means were compared using Tukey’s multiple range test (at a p < 0.05 significance threshold), with significant differences indicated by different letters above the bars in each figure. The data presented are means (± SD) of three independent experiments.

Du Y., Zhao Q., Chen L., Yao X., Zhang H., Wu J, & Xie F. (2020). Effect of Drought Stress during Soybean R2–R6 Growth Stages on Sucrose Metabolism in Leaf and Seed. International Journal of Molecular Sciences, 21(2), 618.

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