Results were analyzed using Statgraphics Plus for Windows 5.1 software. Fisher’s least-significant differences test (p < 0.05) was used to define differences between means for each lupin flour. Means and standard deviations were calculated for each parameter.
Plus for windows 5
Manufactured by Statgraphics
Sourced in United States
Statgraphics Plus for Windows 5.1 is a statistical software package that provides a range of data analysis and graphical tools for Windows operating systems. The software offers a user-friendly interface and advanced statistical capabilities for data manipulation, visualization, and analysis.
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Lab products found in correlation
6 protocols using plus for windows 5
1
Lupin Flour Composition Analysis
2
Statistical Analysis of Experimental Data
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The data were analyzed employing Statgraphics Plus for Windows 5.1 (Manugistics et al. MD). An assessment of variance using (ANOVA) was conducted, and the averages were compared using Fisher's Least Significant Differences (LSD) test, with a 95 % certainty level.
3
Stratification of Youth Physical Activity
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Based on the basic information provided about participants, they were stratified by (1) gender: boys and girls; (2) age: younger (10–13 years) and older (14–16 years); (3) place of residence: rural and urban; (4) BMI: underweight, normal body weight and overweight/obese; and (5) physical activity level: low and moderate.
The distribution was verified using the Shapiro–Wilk test, and for nonparametric distribution, the Mann–Whitney U test and Kruskal–Wallis analysis of variance (ANOVA) were used. Additionally, the chi2 test was applied. The statistical analysis was conducted using Statistica version 13.3 (StatSoft Inc., Tulsa, OK, USA) and Statgraphics Plus for Windows 5.1 (Statgraphics Technologies Inc., The Plains, VA, USA), and p ≤ 0.05 was defined as statistically significant.
The distribution was verified using the Shapiro–Wilk test, and for nonparametric distribution, the Mann–Whitney U test and Kruskal–Wallis analysis of variance (ANOVA) were used. Additionally, the chi2 test was applied. The statistical analysis was conducted using Statistica version 13.3 (StatSoft Inc., Tulsa, OK, USA) and Statgraphics Plus for Windows 5.1 (Statgraphics Technologies Inc., The Plains, VA, USA), and p ≤ 0.05 was defined as statistically significant.
4
Statistical Methods for Non-Parametric Data
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The normality of the distribution was verified using the Kolmogorov–Smirnov test and, afterwards, an analysis of correlation was carried out using Spearman’s rank correlation coefficient due to the non-parametric distribution. The shares of the groups were compared using the chi2 test and afterwards the obtained results were controlled for the false discovery results (FDR) using the Benjamini–Hochberg procedure.
P ≤ 0.05 was considered significant. Statistical analysis was conducted using the following software packages: Statgraphics Plus for Windows 5.1 (Statgraphics Technologies Inc., The Plains, VA, USA), Statistica software version 8.0 (StatSoft Inc., Tulsa, OK, USA), and the Benjamini–Hochberg procedure spreadsheet by McDonalds [25 ].
P ≤ 0.05 was considered significant. Statistical analysis was conducted using the following software packages: Statgraphics Plus for Windows 5.1 (Statgraphics Technologies Inc., The Plains, VA, USA), Statistica software version 8.0 (StatSoft Inc., Tulsa, OK, USA), and the Benjamini–Hochberg procedure spreadsheet by McDonalds [25 ].
5
Statistical Analysis of Experimental Data
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For the statistical analysis, the differences between groups were verified using the chi-squared test. The distribution of data was verified using the Shapiro-Wilk test, and the analysis of correlation was then conducted based on Spearman’s rank correlation coefficient due to the nonparametric distribution of data.
The level of significance was set as p ≤ 0.05. Statistical analysis was carried out using the Statgraphics Plus for Windows 5.1 (Statgraphics Technologies Inc., The Plains, VA, USA) and the Statistica software version 8.0 (StatSoft Inc., Tulsa, OK, USA).
The level of significance was set as p ≤ 0.05. Statistical analysis was carried out using the Statgraphics Plus for Windows 5.1 (Statgraphics Technologies Inc., The Plains, VA, USA) and the Statistica software version 8.0 (StatSoft Inc., Tulsa, OK, USA).
6
Plant Growth Response to Treatments
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In the experiment, 30 plants were randomly attributed to each treatment. The data were analysed by one-way ANOVA using Statgraphics Plus for Windows 5.1 software. Treatment means were separated with Duncan's Multiple Range Test (P ≤ 0.05).
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