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Statistical package for the social sciences spss statistical software 19

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SPSS statistical software 19.0 is a comprehensive and flexible statistical analysis and data management solution. It provides a wide range of statistical procedures to analyze data, including descriptive statistics, bivariate and multivariate statistics, and advanced statistical modeling techniques.

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Lab products found in correlation

Simca p 14, by Sartorius (2 mentions)

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SPSS Statistical Software Package 19.0 SPSS 19 software package SPSS 19 statistical software SPSS Statistical 19.0 SPSS statistical package SPSS software 19.0 Statistical software package SPSS software package SPSS statistical software SPSS 19.0

2 protocols using statistical package for the social sciences spss statistical software 19

1

Comparative Analysis of Biochemical Markers

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Results were expressed as mean AE standard deviation (SD) of at least three independent experiments. Differences among samples were estimated by analysis of variance (ANOVA) followed by Tukey's 'honest significant difference' test. The statistical significance level was set to 0.05. The hierarchical cluster analysis (HCA) was performed using SIMCA-p 14.1 software (Umetrics AB, Ume a, V€ asterbotten, Sweden). The principal component analysis (PCA) was performed using IBM Statistical Package for the Social Sciences (SPSS) statistical software 19.0 (IBM, New York, NY, USA).
Bordiga M., Perestrelo R., Câmara J.S., Yang Q., Corke H., Travaglia F., Locatelli M., Arlorio M., & Coı̈sson J.D. (2020). Global volatile signature and polyphenols patterns in Vespolina wines according to vintage. International Journal of Food Science & Technology, 56(4), 1551-1561.
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2

Comparative Analysis of Biochemical Markers

Check if the same lab product or an alternative is used in the 5 most similar protocols
Results were expressed as mean AE standard deviation (SD) of at least three independent experiments. Differences among samples were estimated by analysis of variance (ANOVA) followed by Tukey's 'honest significant difference' test. The statistical significance level was set to 0.05. The hierarchical cluster analysis (HCA) was performed using SIMCA-p 14.1 software (Umetrics AB, Ume a, V€ asterbotten, Sweden). The principal component analysis (PCA) was performed using IBM Statistical Package for the Social Sciences (SPSS) statistical software 19.0 (IBM, New York, NY, USA).
Bordiga M., Perestrelo R., Câmara J.S., Yang Q., Corke H., Travaglia F., Locatelli M., Arlorio M, & Coïsson J.D. (2021). Global volatile signature and polyphenols patterns in Vespolina wines according to vintage. International Journal of Food Science & Technology., 56(4).
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